The DOI matches its Crossref record; 215 of the 220 references it cites were found in a registry or an index.
Robust gait recognition: a comprehensive survey
Open accessAbstract
Gait recognition has emerged as an attractive biometric technology for the identification of people by analysing the way they walk. However, one of the main challenges of the technology is to address the effects of inherent various intra‐class variations caused by covariate factors such as clothing, carrying conditions, and view angle that adversely affect the recognition performance. The main aim of this survey is to provide a comprehensive overview of existing robust gait recognition methods. This is intended to provide researchers with state of the art approaches in order to help advance the research topic through an understanding of basic taxonomies, comparisons, and summaries of the state‐of‐the‐art performances on several widely used gait recognition datasets.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“However, none of them focus on presenting the main advances regarding deep learning-based approaches for gait recognition.”
From Gait Recognition Based on Deep Learning: A Survey (2023) · cites this paper as [79]
Citations
Cites
Learning With Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Williams, C. K. I. (2003) · Journal of the American Statistical Association · doi:10.1198/jasa.2003.s269 · Cited by 4,390
Individual recognition using gait energy image
Han, J., & Bhanu, B. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.38 · Cited by 1,873
Silhouette analysis-based gait recognition for human identification
Wang, L., Tan, T., Ning, H., & Hu, W. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1251144 · Cited by 1,205
General Tensor Discriminant Analysis and Gabor Features for Gait Recognition
Tao, D., Li, X., Wu, X., & Maybank, S. J. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1096 · Cited by 1,140
The humanID gait challenge problem: data sets, performance, and analysis
Sarkar, S., Phillips, P. J., Liu, Z., Vega, I. R., Grother, P., & Bowyer, K. W. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.39 · Cited by 1,133
Yu, S., Tan, D., & Tan, T. (2006) · 18th International Conference on Pattern Recognition (ICPR'06) · doi:10.1109/icpr.2006.67 · Cited by 1,056
MPCA: Multilinear Principal Component Analysis of Tensor Objects
Lu, H., Plataniotis, K. N., & Venetsanopoulos, A. N. (2008) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2007.901277 · Cited by 860
A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs
Wu, Z., Huang, Y., Wang, L., Wang, X., & Tan, T. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2545669 · Cited by 741
Gait analysis for recognition and classification
Lee, L., & Grimson, W. E. L. (2003) · doi:10.1109/afgr.2002.1004148 · Cited by 738
Identification of Humans Using Gait
Kale, A. A., Sundaresan, A., Rajagopalan, A. N., Cuntoor, N. P., Roy–Chowdhury, A. K., Krüger, V., & Chellappa, R. (2004) · IEEE Transactions on Image Processing · doi:10.1109/tip.2004.832865 · Cited by 569
Properties of body segments based on size and weight
Dempster, W. T., & Gaughran, G. R. L. (1967) · American Journal of Anatomy · doi:10.1002/aja.1001200104 · Cited by 565
(2001) · Cited by 555
Silhouette-based human identification from body shape and gait
Collins, R. T., Gross, R., & Shi, J. (2003) · doi:10.1109/afgr.2002.1004181 · Cited by 504
Automatic extraction and description of human gait models for recognition purposes
Cunado, D., Nixon, M. S., & Carter, J. N. (2003) · Computer Vision and Image Understanding · doi:10.1016/s1077-3142(03)00008-0 · Cited by 426
Gait Recognition Using a View Transformation Model in the Frequency Domain
Makihara, Y., Sagawa, R., Mukaigawa, Y., Echigo, T., & Yagi, Y. (2006) · Lecture Notes in Computer Science · doi:10.1007/11744078_12 · Cited by 392
Fusion of Static and Dynamic Body Biometrics for Gait Recognition
Wang, L., Ning, H., Tan, T., & Hu, W. (2004) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2003.821972 · Cited by 382
Gait recognition using static, activity-specific parameters
Bobick, A., & Johnson, A. Y. (2005) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2001.990506 · Cited by 349
Improved gait recognition by gait dynamics normalization
Liu, Z., & Sarkar, S. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.122 · Cited by 340
Matching shape sequences in video with applications in human movement analysis
Veeraraghavan, A., Roy–Chowdhury, A. K., & Chellappa, R. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.246 · Cited by 338
Automatic gait recognition based on statistical shape analysis
Wang, L., Tan, T., Hu, W., & Ning, H. (2003) · IEEE Transactions on Image Processing · doi:10.1109/tip.2003.815251 · Cited by 334
Gait recognition without subject cooperation
Bashir, K., Xiang, T., & Gong, S. (2010) · Pattern Recognition Letters · doi:10.1016/j.patrec.2010.05.027 · Cited by 325
Discriminant Locally Linear Embedding With High-Order Tensor Data
Li, X., Lin, S. C.-F., Yan, S., & Xu, D. (2008) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2007.911536 · Cited by 303
Robust view transformation model for gait recognition
Zheng, S., Zhang, J., Huang, K., He, R., & Tan, T. (2011) · 2011 18th IEEE International Conference on Image Processing · doi:10.1109/icip.2011.6115889 · Cited by 301
Human Identification Using Temporal Information Preserving Gait Template
Wang, C., Zhang, J., Wang, L., Pu, J., & Yuan, X. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2011.260 · Cited by 290
Stride and cadence as a biometric in automatic person identification and verification
BenAbdelkader, C., Davis, L., & Cutler, R. (2002) · Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition · doi:10.1109/afgr.2002.1004182 · Cited by 289
Xu, D., Yan, S., Tao, D., Lin, S. C.-F., & Zhang, H.-J. (2007) · IEEE Transactions on Image Processing · doi:10.1109/tip.2007.906769 · Cited by 276
Biometric recognition by gait: A survey of modalities and features
Connor, P. C., & Ross, A. A. (2018) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2018.01.007 · Cited by 272
Gait flow image: A silhouette-based gait representation for human identification
Lam, T. H. W., Cheung, K. H., & Liu, J. N. K. (2010) · Pattern Recognition · doi:10.1016/j.patcog.2010.10.011 · Cited by 270
A New Scheme for Practical Flexible and Intelligent Vision Systems
Otsu, N., & Kurita, T. (1988) · Machine Vision and Applications · Cited by 249
Frame difference energy image for gait recognition with incomplete silhouettes
Chen, C., Liang, J., Zhao, H., Hu, H., & Tian, J. (2009) · Pattern Recognition Letters · doi:10.1016/j.patrec.2009.04.012 · Cited by 249
Simplest representation yet for gait recognition: Averaged silhouette
Liu, Z., & Sarkar, S. (2004) · Cited by 244
Multi-view gait recognition using 3D convolutional neural networks
Wolf, T., Babaee, M., & Rigoll, G. (2016) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2016.7533144 · Cited by 241
The OU-ISIR Gait Database Comprising the Treadmill Dataset
Makihara, Y., Mannami, H., Tsuji, A., Hossain, M. A., Sugiura, K., Mori, A., & Yagi, Y. (2012) · IPSJ Transactions on Computer Vision and Applications · doi:10.2197/ipsjtcva.4.53 · Cited by 237
EigenGait: Motion-Based Recognition of People Using Image Self-Similarity
BenAbdelkader, C., Cutler, R., Nanda, H., & Davis, L. S. (2001) · Lecture notes in computer science · doi:10.1007/3-540-45344-x_42 · Cited by 230
On automated model-based extraction and analysis of gait
Wagg, D. K., & Nixon, M. S. (2004) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/afgr.2004.1301502 · Cited by 226
Integrated face and gait recognition from multiple views
Shakhnarovich, G., Lee, L., & Darrell, T. J. (2005) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2001.990508 · Cited by 218
GaitGAN: Invariant Gait Feature Extraction Using Generative Adversarial Networks
Yu, S., Chen, H., García-Reyes, E. B., & Poh, N. (2017) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2017.80 · Cited by 218
Gait recognition from time-normalized joint-angle trajectories in the walking plane
Tanawongsuwan, R., & Bobick, A. (2005) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2001.991036 · Cited by 207
Self-Calibrating View-Invariant Gait Biometrics
Goffredo, M., Bouchrika, I., Carter, J. N., & Nixon, M. S. (2009) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2009.2031091 · Cited by 204
Invariant feature extraction for gait recognition using only one uniform model
Yu, S., Chen, H., Wang, Q., Shen, L., & Huang, Y. (2017) · Neurocomputing · doi:10.1016/j.neucom.2017.02.006 · Cited by 203
On Input/Output Architectures for Convolutional Neural Network-Based Cross-View Gait Recognition
Takemura, N., Makihara, Y., Muramatsu, D., Echigo, T., & Yagi, Y. (2017) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2017.2760835 · Cited by 202
Active energy image plus 2DLPP for gait recognition
Zhang, E., Zhao, Y., & Xiong, W. (2010) · Signal Processing · doi:10.1016/j.sigpro.2010.01.024 · Cited by 200
3D Gait Recognition Using Multiple Cameras
Zhao, G., Liu, G., Li, H., & Pietikäinen, M. (2006) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fgr.2006.2 · Cited by 197
Gait-based recognition of humans using continuous HMMs
Kale, A. A., Rajagopalan, A. N., Cuntoor, N. P., & Krüger, V. (2003) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/afgr.2002.1004176 · Cited by 196
Multiple views gait recognition using View Transformation Model based on optimized Gait Energy Image
Kusakunniran, W., Wu, Q., Li, H., & Zhang, J. (2009) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw.2009.5457587 · Cited by 195
Human Identity and Gender Recognition From Gait Sequences With Arbitrary Walking Directions
Lu, J., Wang, G., & Moulin, P. (2014) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2013.2291969 · Cited by 190
Gait Recognition Using Radon Transform and Linear Discriminant Analysis
Boulgouris, N. V., & Chi, Z. X. (2007) · IEEE Transactions on Image Processing · doi:10.1109/tip.2007.891157 · Cited by 186
Automatic gait recognition by symmetry analysis
Hayfron‐Acquah, J. B., Nixon, M. S., & Carter, J. N. (2003) · Pattern Recognition Letters · doi:10.1016/s0167-8655(03)00086-2 · Cited by 179
Hossain, I., Makihara, Y., Wang, J., & Yagi, Y. (2010) · Pattern Recognition · doi:10.1016/j.patcog.2009.12.020 · Cited by 173
Support vector regression for multi-view gait recognition based on local motion feature selection
Kusakunniran, W., Wu, Q., Zhang, J., & Li, H. (2010) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2010.5540113 · Cited by 166
Efficient transform-based texture image retrieval techniques under quantization effects
Chaker, A., Kaaniche, M., Benazza‐Benyahia, A., & Antonini, M. (2016) · Multimedia Tools and Applications · doi:10.1007/s11042-016-4205-5 · Cited by 160
Gait Recognition Under Various Viewing Angles Based on Correlated Motion Regression
Kusakunniran, W., Wu, Q., Zhang, J., & Li, H. (2012) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2012.2186744 · Cited by 157
Learning effective Gait features using LSTM
Feng, Y., Li, Y., & Luo, J. (2016) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2016.7899654 · Cited by 154
Complete canonical correlation analysis with application to multi-view gait recognition
Xing, X., Wang, K., Yan, T., & Lv, Z. (2015) · Pattern Recognition · doi:10.1016/j.patcog.2015.08.011 · Cited by 154
Gait energy volumes and frontal gait recognition using depth images
Sivapalan, S., Chen, D., Denman, S., Sridharan, S., & Fookes, C. (2011) · IEEE International Joint Conference on Biometrics (IJCB) · doi:10.1109/ijcb.2011.6117504 · Cited by 152
Model-based human gait recognition using leg and arm movements
Tafazzoli, F., & Safabakhsh, R. (2010) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2010.07.004 · Cited by 152
Gait Recognition Using Image Self-Similarity
BenAbdelkader, C., Cutler, R., & Davis, L. S. (2004) · EURASIP Journal on Advances in Signal Processing · doi:10.1155/s1110865704309236 · Cited by 151
Chrono-Gait Image: A Novel Temporal Template for Gait Recognition
Wang, C., Zhang, J., Pu, J., Yuan, X., & Wang, L. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15549-9_19 · Cited by 151
What image information is important in silhouette-based gait recognition?
Veres, G. V., Gordon, L., Carter, J. N., & Nixon, M. S. (2004) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2004.1315243 · Cited by 149
Gait recognition for human identification based on ICA and fuzzy SVM through multiple views fusion
Lu, J., & Zhang, E. (2007) · Pattern Recognition Letters · doi:10.1016/j.patrec.2007.08.004 · Cited by 141
Human Gait Recognition With Matrix Representation
Xu, D., Yan, S., Tao, D., Zhang, L., Li, X., & Zhang, H.-J. (2006) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2006.877418 · Cited by 140
On Reducing the Effect of Covariate Factors in Gait Recognition: A Classifier Ensemble Method
Guan, Y., Li, C.-T., & Roli, F. (2015) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2014.2366766 · Cited by 128
Xu, D., Huang, Y., Zeng, Z., & Xu, X. (2011) · IEEE Transactions on Image Processing · doi:10.1109/tip.2011.2160956 · Cited by 125
Incremental Learning for Video-Based Gait Recognition With LBP Flow
Hu, M., Wang, Y., Zhang, Z., De, Z., & Little, J. J. (2012) · IEEE Transactions on Cybernetics · doi:10.1109/tsmcb.2012.2199310 · Cited by 123
View-independent human motion classification using image-based reconstruction
Bodor, R., Drenner, A., Fehr, D., Masoud, O., & Papanikolopoulos, N. (2008) · Image and Vision Computing · doi:10.1016/j.imavis.2008.11.008 · Cited by 123
Gait History Image: A Novel Temporal Template for Gait Recognition
Liu, J., & Zheng, N. (2007) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme.2007.4284737 · Cited by 123
Gait-Based Person Recognition Using Arbitrary View Transformation Model
Muramatsu, D., Shiraishi, A., Makihara, Y., Uddin, M. Z., & Yagi, Y. (2014) · IEEE Transactions on Image Processing · doi:10.1109/tip.2014.2371335 · Cited by 121
Simplest representation yet for gait recognition: averaged silhouette
Liu, Z., & Sarkar, S. (2004) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2004.1333741 · Cited by 118
Cross View Gait Recognition Using Correlation Strength
Bashir, K., Xiang, T., & Gong, S. (2010) · British Machine Vision Conference (BMVC) · doi:10.5244/c.24.109 · Cited by 115
Human gait recognition at sagittal plane
Zhang, R., Vogler, C., & Metaxas, D. (2006) · Image and Vision Computing · doi:10.1016/j.imavis.2005.10.007 · Cited by 115
Robust Gait Recognition by Integrating Inertial and RGBD Sensors
Zou, Q., Ni, L., Wang, Q., Li, Q., & Wang, S. (2017) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2017.2682280 · Cited by 110
Role of shape and kinematics in human movement analysis
Veeraraghavan, A., Chowdhury, A. R., & Chellappa, R. (2004) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2004.1315104 · Cited by 109
Gait recognition based on dynamic region analysis
Yang, X., Zhou, Y., Zhang, T., Shu, G., & Yang, J. (2008) · Signal Processing · doi:10.1016/j.sigpro.2008.03.006 · Cited by 107
Human Body Part Selection by Group Lasso of Motion for Model-Free Gait Recognition
Rida, I., Jiang, X., & Marcialis, G. L. (2015) · IEEE Signal Processing Letters · doi:10.1109/lsp.2015.2507200 · Cited by 107
Self-citationView Transformation Model Incorporating Quality Measures for Cross-View Gait Recognition
Muramatsu, D., Makihara, Y., & Yagi, Y. (2015) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2015.2452577 · Cited by 106
The Effect of Time on Gait Recognition Performance
Matovski, D. S., Nixon, M. S., Mahmoodi, S., & Carter, J. N. (2011) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2011.2176118 · Cited by 104
Silhouette-based gait recognition using Procrustes shape analysis and elliptic Fourier descriptors
Choudhury, S. D., & Tjahjadi, T. (2012) · Pattern Recognition · doi:10.1016/j.patcog.2012.02.032 · Cited by 103
Human Gait Recognition via Sparse Discriminant Projection Learning
Lai, Z., Xu, Y. J., Jin, Z., & Zhang, D. D. (2014) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2014.2305495 · Cited by 103
Human gait recognition by the fusion of motion and static spatio-temporal templates
Lam, T. H. W., Lee, R., & Zhang, D. D. (2007) · Pattern Recognition · doi:10.1016/j.patcog.2006.11.014 · Cited by 103
Automated Human Recognition by Gait using Neural Network
Yoo, J., Hwang, D., Moon, K., & Nixon, M. S. (2008) · International Conference on Image Processing Theory, Tools and Applications (IPTA) · doi:10.1109/ipta.2008.4743792 · Cited by 101
Shape Variation-Based Frieze Pattern for Robust Gait Recognition
Lee, S., Liu, Y., & Collins, R. T. (2007) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2007.383138 · Cited by 100
A New View-Invariant Feature for Cross-View Gait Recognition
Kusakunniran, W., Wu, Q., Zhang, J., Ma, Y., & Li, H. (2013) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2013.2252342 · Cited by 98
Uncorrelated discriminant simplex analysis for view-invariant gait signal computing
Lu, J., & Tan, Y. (2009) · Pattern Recognition Letters · doi:10.1016/j.patrec.2009.11.006 · Cited by 97
Silhouette transformation based on walking speed for gait identification
Tsuji, A., Makihara, Y., & Yagi, Y. (2010) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2010.5540144 · Cited by 96
Gait recognition using Pose Kinematics and Pose Energy Image
Roy, A., Sural, S., & Mukherjee, J. (2011) · Signal Processing · doi:10.1016/j.sigpro.2011.09.022 · Cited by 95
Gait Recognition Using Compact Feature Extraction Transforms and Depth Information
Ioannidis, D., Tzovaras, D. K., Damousis, I. G., Argyropoulos, S., & Moustakas, K. (2007) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2007.902040 · Cited by 93
A comprehensive review of past and present vision-based techniques for gait recognition
Lee, T. K. M., Belkhatir, M., & Sanei, S. (2013) · Multimedia Tools and Applications · doi:10.1007/s11042-013-1574-x · Cited by 90
Human gait recognition based on matching of body components
Boulgouris, N. V., & Chi, Z. X. (2007) · Pattern Recognition · doi:10.1016/j.patcog.2006.11.012 · Cited by 85
Low-Resolution Gait Recognition
Zhang, J., Pu, J., Chen, C., & Fleischer, R. (2010) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2010.2042166 · Cited by 84
Kobayashi, T., & Otsu, N. (2004) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2004.1333879 · Cited by 83
Robust view-invariant multiscale gait recognition
Choudhury, S. D., & Tjahjadi, T. (2014) · Pattern Recognition · doi:10.1016/j.patcog.2014.09.022 · Cited by 82
Gait Representation Using Flow Fields
Bashir, K., Xiang, T., & Gong, S. (2009) · British Machine Vision Conference (BMVC) · doi:10.5244/c.23.113 · Cited by 82
Bouchrika, I., Carter, J. N., & Nixon, M. S. (2014) · Multimedia Tools and Applications · doi:10.1007/s11042-014-2364-9 · Cited by 81
Feature selection on Gait Energy Image for human identification
Bashir, K., Xiang, T., & Gong, S. (2008) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2008.4517777 · Cited by 81
Hu, H. (2013) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2013.2242640 · Cited by 80
Human Identification From Freestyle Walks Using Posture-Based Gait Feature
Khamsemanan, N., Nattee, C., & Jianwattanapaisarn, N. (2017) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2017.2738611 · Cited by 80
Gait Recognition: Databases, Representations, and Applications
Makihara, Y., Matovski, D. S., Nixon, M. S., Carter, J. N., & Yagi, Y. (2015) · Wiley Encyclopedia of Electrical and Electronics Engineering · doi:10.1002/047134608x.w8261 · Cited by 77
Joint Subspace Learning for View-Invariant Gait Recognition
Liu, N., Lu, J., & Tan, Y. (2011) · IEEE Signal Processing Letters · doi:10.1109/lsp.2011.2157143 · Cited by 77
Recognizing Gaits on Spatio-Temporal Feature Domain
Kusakunniran, W. (2014) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2014.2336379 · Cited by 76
Fusion of spatial-temporal and kinematic features for gait recognition with deterministic learning
Deng, M., Wang, C., Cheng, F., & Zeng, W. (2017) · Pattern Recognition · doi:10.1016/j.patcog.2017.02.014 · Cited by 75
Gait recognition based on gait pal and pal entropy image
Medikonda, J., Jain, N., Hanmandlu, M., & Chetty, G. (2013) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2013.6738864 · Cited by 74
Feature subset selection applied to model-free gait recognition
Dupuis, Y., Savatier, X., & Vasseur, P. (2013) · Image and Vision Computing · doi:10.1016/j.imavis.2013.04.001 · Cited by 72
Silhouette-based gait recognition via deterministic learning
Zeng, W., Wang, C., & Yang, F. (2014) · Pattern Recognition · doi:10.1016/j.patcog.2014.04.014 · Cited by 71
Robust Arbitrary-View Gait Recognition Based on 3D Partial Similarity Matching
Tang, J., Luo, J., Tjahjadi, T., & Guo, F. (2016) · IEEE Transactions on Image Processing · doi:10.1109/tip.2016.2612823 · Cited by 71
Gait based authentication using gait information image features
Arora, P., Hanmandlu, M., & Srivastava, S. (2015) · Pattern Recognition Letters · doi:10.1016/j.patrec.2015.05.016 · Cited by 70
Marionette mass-spring model for 3D gait biometrics
Ariyanto, G., & Nixon, M. S. (2012) · International Conference on Biometrics · doi:10.1109/icb.2012.6199832 · Cited by 70
Gait Recognition With Shifted Energy Image and Structural Feature Extraction
Huang, X., & Boulgouris, N. V. (2011) · IEEE Transactions on Image Processing · doi:10.1109/tip.2011.2180914 · Cited by 67
Stochastic kinematic modeling and feature extraction for gait analysis
Dockstader, S. L., Berg, M. J., & Tekalp, A. M. (2003) · IEEE Transactions on Image Processing · doi:10.1109/tip.2003.815259 · Cited by 67
Gait recognition based on modified phase-only correlation
Rida, I., Al-Maadeed, S. A., & Bouridane, A. (2015) · Signal Image and Video Processing · doi:10.1007/s11760-015-0766-4 · Cited by 67
Self-citationKusakunniran, W., Wu, Q., Zhang, J., & Li, H. (2012) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2012.2197823 · Cited by 65
Towards view-invariant gait modeling: Computing view-normalized body part trajectories
Jean, F., Albu, A. B., & Bergevin, R. (2009) · Pattern Recognition · doi:10.1016/j.patcog.2009.05.006 · Cited by 64
A Survey of Advances in Biometric Gait Recognition
Zhang, Z., Hu, M., & Wang, Y. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-25449-9_19 · Cited by 63
Uncooperative gait recognition by learning to rank
Martín-Félez, R., & Xiang, T. (2014) · Pattern Recognition · doi:10.1016/j.patcog.2014.06.010 · Cited by 63
Gait-Based Person Identification Robust to Changes in Appearance
Iwashita, Y., Uchino, K., & Kurazume, R. (2013) · Sensors · doi:10.3390/s130607884 · Cited by 61
Gait recognition based on shape and motion analysis of silhouette contours
Choudhury, S. D., & Tjahjadi, T. (2013) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2013.08.003 · Cited by 59
Kusakunniran, W., Wu, Q., Zhang, J., & Li, H. (2011) · Pattern Recognition Letters · doi:10.1016/j.patrec.2011.04.014 · Cited by 59
Deleted DOI: Error Recovery Properties and Soft Decoding of Quasi-Arithmetic Codes
Malinowski, S., Jeǵou, H., & Guillemot, C. M. (2007) · EURASIP Journal on Advances in Signal Processing · doi:10.1155/2008/52840 · Cited by 58
View-independent person identification from human gait
Zhang, Z., & Troje, N. F. (2005) · Neurocomputing · doi:10.1016/j.neucom.2005.06.002 · Cited by 58
Face and Human Gait Recognition Using Image-to-Class Distance
Huang, Y., Xu, D., & Cham, T. (2009) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2009.2035852 · Cited by 56
Recognizing Humans Based on Gait Moment Image
Ma, Q., Wang, S., Nie, D., & Qiu, J. (2007) · ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) · doi:10.1109/snpd.2007.307 · Cited by 55
Gait recognition based on Gabor wavelets and (2D)2PCA
Wang, X., Wang, J., & Yan, K. (2017) · Multimedia Tools and Applications · doi:10.1007/s11042-017-4903-7 · Cited by 55
Computing and evaluating view-normalized body part trajectories
Jean, F., Bergevin, R., & Albu, A. B. (2008) · Image and Vision Computing · doi:10.1016/j.imavis.2008.11.009 · Cited by 55
Attribute-based learning for gait recognition using spatio-temporal interest points
Kusakunniran, W. (2014) · Image and Vision Computing · doi:10.1016/j.imavis.2014.10.004 · Cited by 54
Effective part-based gait identification using frequency-domain gait entropy features
Rokanujjaman, M., Islam, M. S., Hossain, I., Islam, M. R., Makihara, Y., & Yagi, Y. (2013) · Multimedia Tools and Applications · doi:10.1007/s11042-013-1770-8 · Cited by 53
Representation and matching of articulated shapes
Zhang, J., Collins, R. T., & Liu, Y. (2004) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2004.1315184 · Cited by 53
Liu, L., Jia, W., & Zhu, Y. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04020-7_70 · Cited by 52
A Full-Body Layered Deformable Model for Automatic Model-Based Gait Recognition
Lu, H., Plataniotis, K. N., & Venetsanopoulos, A. N. (2007) · EURASIP Journal on Advances in Signal Processing · doi:10.1155/2008/261317 · Cited by 52
Covariate Conscious Approach for Gait Recognition Based Upon Zernike Moment Invariants
Aggarwal, H., & Vishwakarma, D. K. (2017) · IEEE Transactions on Cognitive and Developmental Systems · doi:10.1109/tcds.2017.2658674 · Cited by 51
Automatic Gait Recognition Using Weighted Binary Pattern on Video
Kusakunniran, W., Wu, Q., Li, H., & Zhang, J. (2009) · IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) · doi:10.1109/avss.2009.44 · Cited by 51
Combined face and gait recognition using alpha matte preprocessing
Hofmann, M. R., Schmidt, S. M., Rajagopalan, A. N., & Rigoll, G. (2012) · International Conference on Biometrics · doi:10.1109/icb.2012.6199782 · Cited by 50
Fisher Motion Descriptor for Multiview Gait Recognition
Castro, F. M., Marín-Jiménez, M. J., Guil, N., & Muñoz‐Salinas, R. (2016) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s021800141756002x · Cited by 49
Gait recognition via optimally interpolated deformable contours
Lee, C. P., Tan, A. W. C., & Tan, S. C. (2013) · Pattern Recognition Letters · doi:10.1016/j.patrec.2013.01.013 · Cited by 49
Luo, J., Tang, J., Tjahjadi, T., & Xiao, X. (2016) · Pattern Recognition · doi:10.1016/j.patcog.2016.05.030 · Cited by 48
Gait recognition using gait Gaussian image
Arora, P., & Srivastava, S. (2015) · International Conference on Signal Processing and Integrated Networks (SPIN) · doi:10.1109/spin.2015.7095388 · Cited by 47
Model-Based Human Gait Recognition Via Deterministic Learning
Zeng, W., Wang, C., & Li, Y. (2013) · Cognitive Computation · doi:10.1007/s12559-013-9221-4 · Cited by 47
yam, C., & Nixon, M. S. (2009) · ePrints Soton (University of Southampton) · Cited by 45
Hu, H. (2013) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2013.2280098 · Cited by 44
Cloth invariant gait recognition using pooled segmented statistical features
Nandy, A., Chakraborty, R., & Chakraborty, P. (2016) · Neurocomputing · doi:10.1016/j.neucom.2016.01.002 · Cited by 42
Cross-view gait recognition using view-dependent discriminative analysis
Mansur, A., Makihara, Y., Muramatsu, D., & Yagi, Y. (2014) · IEEE International Joint Conference on Biometrics (IJCB) · doi:10.1109/btas.2014.6996272 · Cited by 40
Human gait recognition based on Haralick features
Lishani, A. O., Boubchir, L., Khalifa, E., & Bouridane, A. (2017) · Signal Image and Video Processing · doi:10.1007/s11760-017-1066-y · Cited by 40
Improved Gait Recognition using Gradient Histogram Energy Image
Hofmann, M. R., & Rigoll, G. (2012) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2012.6467128 · Cited by 40
Distance Approximating Dimension Reduction of Riemannian Manifolds
Chen, C., Zhang, J., & Fleischer, R. (2009) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2009.2025028 · Cited by 40
View‐invariant gait recognition system using a gait energy image decomposition method
Verlekar, T. T., Correia, P. L., & Soares, L. D. (2017) · IET Biometrics · doi:10.1049/iet-bmt.2016.0118 · Cited by 40
Gait Recognition: Databases, Representations, and Applications
Makihara, Y., Nixon, M. S., & Yagi, Y. (2021) · Springer eBooks · doi:10.1007/978-3-030-03243-2_883-1 · Cited by 40
Cross‐view gait recognition by fusion of multiple transformation consistency measures
Muramatsu, D., Makihara, Y., & Yagi, Y. (2015) · IET Biometrics · doi:10.1049/iet-bmt.2014.0042 · Cited by 39
A Grassmannian Approach to Address View Change Problem in Gait Recognition
Connie, T., Goh, M. K. O., & Teoh, A. B. J. (2016) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2016.2545693 · Cited by 39
Gait Recognition Using GEI and AFDEI
Luo, J., Zhang, J., Zi, C., Niu, Y., Tian, H., & Xiu, C. (2015) · International Journal of Optics · doi:10.1155/2015/763908 · Cited by 39
Human gait recognition based on deterministic learning through multiple views fusion
Deng, M., Wang, C., & Chen, Q. (2016) · Pattern Recognition Letters · doi:10.1016/j.patrec.2016.04.004 · Cited by 39
Occlusion detection and gait silhouette reconstruction from degraded scenes
Roy, A., Sural, S., Mukherjee, J., & Rigoll, G. (2011) · Signal Image and Video Processing · doi:10.1007/s11760-011-0245-5 · Cited by 38
Pyramidal Fisher Motion for Multiview Gait Recognition
Castro, F. M., Marín-Jiménez, M. J., & Medina-Carnicer, R. (2014) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2014.298 · Cited by 38
View-invariant gait recognition via deterministic learning
Zeng, W., & Wang, C. (2015) · Neurocomputing · doi:10.1016/j.neucom.2015.10.065 · Cited by 37
View-Invariant Gait Recognition Through Genetic Template Segmentation
Isaac, E. R. H. P., Elias, S., Rajagopalan, S., & Easwarakumar, K. S. (2017) · IEEE Signal Processing Letters · doi:10.1109/lsp.2017.2715179 · Cited by 35
Gait probability image: An information-theoretic model of gait representation
Lee, C. P., Tan, A. W. C., & Tan, S. C. (2014) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2014.05.006 · Cited by 34
Rida, I., Boubchir, L., Almaadeed, N., Al-Maadeed, S. A., & Bouridane, A. (2016) · International Conference on Telecommunications and Signal Processing (TSP) · doi:10.1109/tsp.2016.7760963 · Cited by 34
Self-citationArbitrary view transformation model for gait person authentication
Muramatsu, D., Shiraishi, A., Makihara, Y., & Yagi, Y. (2012) · IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS) · doi:10.1109/btas.2012.6374561 · Cited by 33
Improved Human Gait Recognition
Rida, I., Bouridane, A., Marcialis, G. L., & Tuveri, P. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-23234-8_12 · Cited by 33
Self-citationHuang, S., Elgammal, A., Lu, J., & Yang, D. (2015) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2015.2445315 · Cited by 32
Globality-Locality Preserving Projections for Biometric Data Dimensionality Reduction
Huang, S., Elgammal, A., Huangfu, L., Yang, D., & Zhang, X. (2014) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2014.8 · Cited by 32
Human Gait Recognition Based on Multiview Gait Sequences
Huang, X., & Boulgouris, N. V. (2008) · EURASIP Journal on Advances in Signal Processing · doi:10.1155/2008/629102 · Cited by 31
Gait recognition with Transient Binary Patterns
Lee, C. P., Tan, A. W. C., & Tan, S. C. (2015) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2015.09.006 · Cited by 30
A new approach for multi-view gait recognition on unconstrained paths
López-Fernández, D., Madrid-Cuevas, F. J., Carmona-Poyato, A., Muñoz‐Salinas, R., & Medina-Carnicer, R. (2016) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2016.03.020 · Cited by 30
Gait Recognition Based on Normal Distance Maps
El-alfy, H. M., Mitsugami, I., & Yagi, Y. (2017) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2017.2705799 · Cited by 30
Matrix Product State for Higher-Order Tensor Compression and Classification
Bengua, J. A., Phien, H. N., Tuan, H. D., & Do, M. N. (2017) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2017.2703882 · Cited by 29
Time-sliced averaged motion history image for gait recognition
Lee, C. P., Tan, A. W. C., & Tan, S. C. (2014) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2014.01.012 · Cited by 29
Biologically inspired feature manifold for gait recognition
Mu, Y., & Tao, D. (2009) · Neurocomputing · doi:10.1016/j.neucom.2009.09.017 · Cited by 28
Decision-level fusion for single-view gait recognition with various carrying and clothing conditions
Al-Tayyan, A., Assaleh, K. T., & Shanableh, T. (2017) · Image and Vision Computing · doi:10.1016/j.imavis.2017.02.004 · Cited by 28
Improved Gait Recognition Using Gradient Histogram Gaussian Image
Arora, P., Srivastava, S., Arora, K., & Bareja, S. (2015) · Procedia Computer Science · doi:10.1016/j.procs.2015.08.049 · Cited by 27
Gait recognition based on the golden ratio
Liang, Y., Li, C., Yu, G., & Hu, Y. (2016) · EURASIP Journal on Image and Video Processing · doi:10.1186/s13640-016-0126-5 · Cited by 27
Unsupervised feature selection method for improved human gait recognition
Rida, I., Al-Maadeed, S. A., & Bouridane, A. (2015) · European Signal Processing Conference (EUSIPCO) · doi:10.1109/eusipco.2015.7362559 · Cited by 27
Self-citationUncooperative gait recognition: Re-ranking based on sparse coding and multi-view hypergraph learning
Chen, X., & Xu, J. (2015) · Pattern Recognition · doi:10.1016/j.patcog.2015.11.016 · Cited by 25
Protocol Engineering Principles for Cryptographic Protocols Design
Dong, L., Chen, K., Wen, M., & Zheng, Y. (2007) · ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) · doi:10.1109/snpd.2007.441 · Cited by 25
On the distance metric learning between cross-domain gaits
Ben, X., Zhang, P., Meng, W., Yan, R., Yang, M., Liu, W., & Zhang, H. (2016) · Neurocomputing · doi:10.1016/j.neucom.2016.01.098 · Cited by 25
A sparse and discriminative tensor to vector projection for human gait feature representation
Zhang, L., Zhang, L., Tao, D., & Du, B. (2014) · Signal Processing · doi:10.1016/j.sigpro.2014.08.005 · Cited by 23
Clothing and carrying condition invariant gait recognition based on rotation forest
Choudhury, S. D., & Tjahjadi, T. (2016) · Pattern Recognition Letters · doi:10.1016/j.patrec.2016.05.009 · Cited by 23
Gait recognition from corrupted silhouettes: a robust statistical approach
Ortells, J., Mollineda, R. A., Mederos, B., & Martín-Félez, R. (2016) · Machine Vision and Applications · doi:10.1007/s00138-016-0798-y · Cited by 22
Clothing-invariant human gait recognition using an adaptive outlier detection method
Ghebleh, A., & Moghaddam, M. E. (2017) · Multimedia Tools and Applications · doi:10.1007/s11042-017-4712-z · Cited by 20
Fusion of Random Walk and Discrete Fourier Spectrum Methods for Gait Recognition
Chaurasia, P., Yogarajah, P., Condell, J. V., & Prasad, G. (2017) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2017.2706658 · Cited by 20
Makihara, Y., Mansur, A., Muramatsu, D., Uddin, M. Z., & Yagi, Y. (2015) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg.2015.7163131 · Cited by 19
Coupled locality preserving projections for cross-view gait recognition
Xu, W., Luo, C., Ji, A., & Zhu, C. (2016) · Neurocomputing · doi:10.1016/j.neucom.2016.10.054 · Cited by 19
On view‐invariant gait recognition: a feature selection solution
Jia, N., Sánchez, V., & Li, C. (2018) · IET Biometrics · doi:10.1049/iet-bmt.2017.0151 · Cited by 19
Yeoh, T. W., Daolio, F., Aguirre, H. E., & Tanaka, K. (2017) · Applied Soft Computing · doi:10.1016/j.asoc.2017.07.041 · Cited by 19
Gait recognition method for arbitrary straight walking paths using appearance conversion machine
Zhao, X., Jiang, Y., Stathaki, T., & Zhang, H. (2015) · Neurocomputing · doi:10.1016/j.neucom.2015.07.012 · Cited by 18
Improved gait recognition based on gait energy images
Rida, I., Al-Maadeed, S. A., & Bouridane, A. (2014) · doi:10.1109/icm.2014.7071801 · Cited by 18
Self-citationImproved Model-Free Gait Recognition Based on Human Body Part
Rida, I., Maadeed, N. A., Marcialis, G. L., Bouridane, A., Hérault, R., & Gasso, G. (2016) · Signal processing for security technologies · doi:10.1007/978-3-319-47301-7_6 · Cited by 18
Self-citationAverage Gait Differential Image Based Human Recognition
Chen, J., & Liu, J. (2014) · The Scientific World JOURNAL · doi:10.1155/2014/262398 · Cited by 17
Modelling, synthesis and characterisation of occlusion in videos
Roy, A., Chattopadhyay, P., Sural, S., Mukherjee, J., & Rigoll, G. (2015) · IET Computer Vision · doi:10.1049/iet-cvi.2014.0170 · Cited by 17
Haralick features for GEI-based human gait recognition
Lishani, A. O., Boubchir, L., & Bouridane, A. (2014) · doi:10.1109/icm.2014.7071800 · Cited by 17
On covariate factor detection and removal for robust gait recognition
Whytock, T. P., Belyaev, A. G., & Robertson, N. M. (2015) · Machine Vision and Applications · doi:10.1007/s00138-015-0681-2 · Cited by 16
Information set based gait authentication system
Medikonda, J., Madasu, H., & Panigrahi, B. K. (2016) · Neurocomputing · doi:10.1016/j.neucom.2016.02.009 · Cited by 16
Human identification based on temporal lifting using 5/3 wavelet filters and radon transform
Atta, R., Shaheen, S. I., & Ghanbari, M. (2017) · Pattern Recognition · doi:10.1016/j.patcog.2017.04.015 · Cited by 16
Human identification system based on feature level fusion using face and gait biometrics
Almohammad, M. S., Salama, G. I., & Mahmoud, T. A. (2012) · doi:10.1109/icengtechnol.2012.6396120 · Cited by 15
Ma, G., Wu, L., & Wang, Y. (2017) · Pattern Recognition · doi:10.1016/j.patcog.2017.01.003 · Cited by 15
Robust gait recognition via discriminative set matching
Liu, N., Lu, J., Yang, G., & Tan, Y. (2013) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2013.02.002 · Cited by 14
View-invariant gait recognition via deterministic learning
Zeng, W., & Wang, C. (2014) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2014.6889507 · Cited by 14
Human gait recognition: approaches, datasets and challenges
Chai, Y., Ren, J., Han, W., & Li, H. (2011) · International Conference on Imaging for Crime Detection and Prevention (ICDP) · doi:10.1049/ic.2011.0100 · Cited by 14
Entropy volumes for viewpoint-independent gait recognition
López-Fernández, D., Madrid-Cuevas, F. J., Carmona-Poyato, A., Muñoz‐Salinas, R., & Medina-Carnicer, R. (2015) · Machine Vision and Applications · doi:10.1007/s00138-015-0707-9 · Cited by 13
Alotaibi, M., & Mahmood, A. (2017) · Signal Image and Video Processing · doi:10.1007/s11760-017-1067-x · Cited by 13
Part-based human gait identification under clothing and carrying condition variations
Li, N., Xu, Y., & Yang, X. (2010) · International Conference on Machine Learning and Cybernetics · doi:10.1109/icmlc.2010.5581055 · Cited by 12
Window based clothing invariant gait recognition
Islam, M. S., Islam, M. R., Akter, M. S., Hossain, I., & Molla, M. K. I. (2013) · International Conference on Advances in Electrical Engineering · doi:10.1109/icaee.2013.6750373 · Cited by 12
A Frontal View Gait Recognition Based On 3D Imaging Using A Time Of Flight Camera
Afendi, T. M., Bouridane, A., Crookes, D., & Kurugöllü, F. (2014) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.44123 · Cited by 11
Research works printed but not linked: 4
- Bhowmik S., 2016, A literature survey on human identification by gait, Imperial J. Interdiscip Res., 2
- Kent J.T.: ‘New directions in shape analysis’ The Art Stat. Sci. 1992 pp.115–127
- Li X., 2013, ‘Gait recognition based on structural gait energy image’ J., Comput. Inf. Syst., 9, 121
- Liu Y. Zhang J. Wang C. et al. : ‘Multiple hog templates for gait recognition’.In: Int. Conf. Pattern Recognition 2012 Tsukuba Japan November2012 pp.2930–2933
Cited by
Sorted by citations
Deep Gait Recognition: A Survey
Sepas‐Moghaddam, A., & Etemad, A. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2022.3151865 · Cited by 344
Deep Learning-Based Gait Recognition Using Smartphones in the Wild
Zou, Q., Wang, Y., Wang, Q., Zhao, Y., & Li, Q. (2020) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2020.2985628 · Cited by 305
Gait Recognition Based on Deep Learning: A Survey
Filipi Gonçalves dos Santos, C., Oliveira, D. D. S., A. Passos, L., Gonçalves Pires, R., Felipe Silva Santos, D., Pascotti Valem, L., P. Moreira, T., Cleison S. Santana, M., Roder, M., Paulo Papa, J., et al. (2023) · ACM Computing Surveys · doi:10.1145/3490235 · Cited by 108
A Comprehensive Survey on Deep Gait Recognition: Algorithms, Datasets, and Challenges
Shen, C., Yu, S., Wang, J., Huang, G. Q., & Wang, L. (2024) · IEEE Transactions on Biometrics Behavior and Identity Science · doi:10.1109/tbiom.2024.3486345 · Cited by 112
Spatial transformer network on skeleton‐based gait recognition
Zhang, C., Chen, X., Han, G., & Liu, X. (2022) · Expert Syst. J. Knowl. Eng. · doi:10.1111/exsy.13244 · Cited by 100
Metadata
- Authors
- Rida, I., Almaadeed, N., & Almaadeed, S.
- Affiliations
- Qatar University (QA)
- Department of Computer Science and Engineering Qatar University Doha Qatar
- Corresponding author
- Rida, Imad
- Venue
- IET Biometrics
- Published
- 2018-10-31
- Volume
- 8
- Issue
- 1
- Pages
- 14-28
- ISSN
- 2047-4938 (ISSN-L)
- OpenAlex
- W2888394219
- Cited by
- 119
- References
- 220
- Citations by year
- 2025: 6 · 2024: 15 · 2023: 23 · 2022: 24 · 2021: 25 · 2020: 20 · 2019: 4 · 2018: 2
- FWCI
- 5.09
- Type
- journal article
- Language
- en
- Open access
- green
- hal.science
- Licence
- Locations
- IET Biometrics (publishedVersion)
- HAL (submittedVersion, other-oa)
- Qatar University QSpace (Qatar University) (submittedVersion)
- Funders
- Qatar Foundation
- Qatar National Research Fund
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Gait Recognition and Analysis
- Physical Sciences › Computer Science › Signal Processing › Biometric Identification and Security
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Human Pose and Action Recognition
- Keywords
- gait recognition, biometric identification, intra-class variation, covariate effects, clothing variation, viewpoint variation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review