A survey of appearance models in visual object tracking

Random Forests

Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538

Histograms of Oriented Gradients for Human Detection

Dalal, N., & Triggs, B. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.177 · Cited by 33,584

A New Approach to Linear Filtering and Prediction Problems

Kalman, R. E. (1960) · Journal of Basic Engineering · doi:10.1115/1.3662552 · Cited by 31,751

Greedy function approximation: A gradient boosting machine

Friedman, J. H. (2001) · The Annals of Statistics · doi:10.1214/aos/1013203451 · Cited by 30,731

Textural Features for Image Classification

Haralick, R. M., Shanmugam, K., & Dinstein, I. (1973) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/tsmc.1973.4309314 · Cited by 22,886

Proceedings of IEEE Conference on Computer Vision and Pattern Recognition

(1993) · doi:10.1109/cvpr.1993 · Cited by 17,989

Multiresolution gray-scale and rotation invariant texture classification with local binary patterns

Ojala, T., Pietikainen, M., & Maenpaa, T. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2002.1017623 · Cited by 15,398

SURF: Speeded Up Robust Features

Bay, H., Tuytelaars, T., & Van Gool, L. (2006) · Lecture Notes in Computer Science · doi:10.1007/11744023_32 · Cited by 14,955

Robust Real-Time Face Detection

Viola, P., & Jones, M. J. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000013087.49260.fb · Cited by 14,097

Proceedings of IEEE International Conference on Computer Vision

(1995) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.1995.466933 · Cited by 13,117

Robust visual tracking based on spatial context pyramid

Tang, F., Zhang, X., Lu, X., Hu, S., & Zhang, H. (2019) · Multimedia Tools and Applications · doi:10.1007/s11042-019-7416-8 · Cited by 1

Multi-task non-negative matrix factorization for visual object tracking

Wang, Y., Luo, X., Ding, L., Fu, S., & Hu, S. (2019) · Pattern Analysis and Applications · doi:10.1007/s10044-019-00812-4 · Cited by 1

Long-Term Real-Time Correlation Filter Tracker for Mobile Robot

You, S., Zhu, H. J., Li, M., Wang, L., & Tang, C. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-27526-6_22 · Cited by 1

Dictionary Learning and Confidence Map Estimation-Based Tracker for Robot-Assisted Therapy System

Zhou, X., Chan, S., Li, J., Chen, S., & Liu, H. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-31654-9_13 · Cited by 1

Target Model Construct Method Based on Sobel and Snake Algorithm

Li, X. G., Dong, Q., & Tan, Y. H. (2020) · Smart innovation, systems and technologies · doi:10.1007/978-981-15-3863-6_36 · Cited by 1

Human Tracking in Cultural Places Using Multi-agent Systems and Face Recognition

Hassan, A., Sawan, A., Rattrout, A., & Sabha, M. N. (2020) · Smart innovation, systems and technologies · doi:10.1007/978-981-15-5764-4_16 · Cited by 1

Unsupervised Detection of Changes in Usage-Phases of a Mobile App

Chae, H., Ryangkyung, K., & Seok, H.-S. (2020) · Applied Sciences · doi:10.3390/app10103656 · Cited by 1

Multiple Reliable Structured Patches for Object Tracking

Wu, S., Huang, J., Feng, Y., & Sun, B. (2020) · Cognitive Computation · doi:10.1007/s12559-020-09741-5 · Cited by 1

Multi-Scale Anti-Occlusion Correlation Filters Object Tracking Method Based on Complementary Features

Hu, X., Chen, Y., Hui, Y., Liang, Y., Li, G., & Wang, C. (2020) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s0218001421550028 · Cited by 1

Multi-Update Patterns and Validity Verification for Robust Visual Tracking

Wen, J., Wang, H., Li, Y., Zhao, J., & Yang, Y. (2020) · Cited by 1

Interactive teaching learning based optimization technique for multiple object tracking

Dash, P. P., Mishra, S., Senapati, K. K., & Panda, G. (2020) · Multimedia Tools and Applications · doi:10.1007/s11042-020-10057-7 · Cited by 1

A Hybrid Visual Tracking Algorithm Based on SOM Network and Correlation Filter

Zhang, Y., Huang, X., & Yang, M. (2021) · Sensors · doi:10.3390/s21082864 · Cited by 1

Efficient Parameter Based Online Object Tracking

Rahman, M. H., Ali, S., & Bouguila, N. (2021) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn52387.2021.9533905 · Cited by 1

Information Extraction and Object Tracking in Digital Video

Neves, A. J. R., & Gallegos-Funes, F. J. (2022) · Artificial intelligence · doi:10.5772/intechopen.94616

Cognitive Visual Tracking of Hand Gestures in Real-Time RGB Videos

Golash, R., & Jain, Y. K. (2022) · Artificial intelligence · doi:10.5772/intechopen.103170 · Cited by 1

AR Long-Term Tracking Combining Multi-Attention and Template Updating

Mengru, G., & Chen, Q. (2023) · Applied Sciences · doi:10.3390/app13085015 · Cited by 1

Tracking and detecting objects in image sequence

Wang, L. (2016) · doi:10.32657/10356/65878 · Cited by 1

Subspace Representations and Learning for Visual Recognition

Siyahjani, F. (2017) · doi:10.33915/etd.6652 · Cited by 1

Object tracking in video with part-based tracking by feature sampling

Ath, G. D. (2019) · Open Research Exeter (University of Exeter) · Cited by 1

Rethinking Convolutional Features in Correlation Filter Based TrackingPreprint

Liang, F., Peng, W., Liu, Q., & Wang, H. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1912.12811 · Cited by 1

TraSw: Tracklet-Switch Adversarial Attacks against Multi-Object TrackingPreprint

He, K., Lin, D., Chen, Q., & Zhou, C. (2022) · OSF Preprints (OSF Preprints) · doi:10.31219/osf.io/u9zrj · Cited by 1

An Improved YOLOv5s Model Based on DeepSORT for Pedestrian Detection and TrackingPreprint

Zheng, B., Shen, Y., & Lu, H. (2023) · Research Square · doi:10.21203/rs.3.rs-3321181/v1 · Cited by 1

Robust visual tracking using feature selection

Willemin, F. (2014) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · Cited by 1

Locality constrained low-rank sparse learning for object tracking

Fan, B., & Tang, Y. (2015) · IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems · doi:10.1109/cyber.2015.7287991

Discriminative Metric Learning for Shape Variation Object Tracking

Zhao, L., Zhao, Q., Guo, W., & Wang, Y. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-13560-1_26

Video and LIDAR Based Object Tracking Using Small-Region Growth

Fang, Y., Cappelle, C., & Ruichek, Y. (2015) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc.2015.375

Fast 3D symmetric pattern indexing for modeling, tracking and detection of semantic objects

Cheng, C.-Y., Cheng, S., Hsiao, K.-F., & Lin, J.-B. (2015) · International Conference on Computer, Information and Telecommunication Systems · doi:10.1109/cits.2015.7297732

Robust visual tracking via spatio-temporal cue integration

He, Y., Pei, M., Yang, M., Wu, Y., & Liang, W. G. (2014) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2050313

Tracking of Entities in Multi-sport Field

Vyas, K. K., Vira, K., & Karani, R. B. (2015) · Procedia Computer Science · doi:10.1016/j.procs.2015.03.146

A Unified Online Dictionary Learning Framework with Label Information for Robust Object Tracking

Fan, B., Sun, J., Cong, Y., & Du, Y. (2014) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2014.401

Tracking Using Multiple Linear Searches and Motion Direction Sampling

Nguyen, T. T., & Pridmore, T. (2014) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2014.381

The incremental PCA tracking with negative samples

Qing, C., Zhao, S., & Xu, X. (2014) · IEEE International Conference on Consumer Electronics - China (ICCE-China) · doi:10.1109/icce-china.2014.7029892

Robust tracking via saliency-based appearance model

Luo, B. R., Hu, R., Wang, Y., Liang, C., Zhang, C., & Gao, G. (2014) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2014.7025083

Visual Tracking Using Multi-stage Random Simple Features

He, Y., Dong, Z., Yang, M., Chen, L., Pei, M., & Jia, Y. (2014) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2014.703

Cloud-shift: A novel algorithm for visual object tracking

Jiang, B., Gan, W., Zhang, H., & Wang, X. (2015) · International Conference on Wireless Communications and Signal Processing (WCSP) · doi:10.1109/wcsp.2015.7341192

Object tracking: Appearance modeling and feature learning

Almomani, R. (2015) · Human Biology

Patch-based object tracking using the local robust histogram and background estimation

Lü, R., Xu, W., Zheng, Y., Bai, S., & Huang, X. (2016) · International Forum on Management, Education and Information Technology Application (IFMEITA) · doi:10.2991/ifmeita-16.2016.135

Robust Object Tracking using Probabilistic Hypergraph Ranking and Superpixels

Lü, R., Xu, W., Zheng, Y., Bai, S., & Huang, X. (2016) · International Forum on Management, Education and Information Technology Application (IFMEITA) · doi:10.2991/ifmeita-16.2016.134

Robustly tracking objects via multi-task kernel dynamic sparse model

Ji, Z., Wang, W., & Lü, K. (2015) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2015.7350801

A Comparative Study of Object Trackers for Infrared Flying Bird TrackingPreprint

Huang, Y. P., Zheng, H. Y., Ling, H., Blasch, E., & Yang, H. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1601.04386

Robust weighted coarse-to-fine sparse tracking

Zhong, B., Chen, Z., You, X., Li, L., Xie, Y., & Yu, S. (2014) · International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) · doi:10.1109/spac.2014.6982648

Adaptive structured sub-blocks tracking

Liu, J., Sun, W., & Tao, X. (2014) · International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) · doi:10.1109/spac.2014.6982651

Boosting-Based Visual Tracking Using Structural Local Sparse Descriptors

Liu, Y., Ma, B., Hu, H., & Han, Y. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-16814-2_34

Collaborative Annotation of Videos Relying on Weak Consistency

Wilk, S., Kopf, S., & Wolfgang Effelsberg, A. (2016) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/2907983

Structured output tracking with deep neural network and optical flow

Jo, Y., Park, J.-C., & Kim, D. (2016) · International Conference on Control, Automation and Robotics (ICCAR) · doi:10.1109/iccar.2016.7486754

PD-Shift: Patch Detector Shift based Tracker

Francis, M., Ratnakaram, R., & Guha, P. (2015) · National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) · doi:10.1109/ncvpripg.2015.7489997

Video Analytics with Spatio-Temporal Characteristics of Activities

Cheng, G. (2015) · doi:10.12794/metadc799541

Improving the reliability of 3D people tracking system by means of deep-learning

Boschini, M., Poggi, M., & Mattoccia, S. (2016) · International Conference on D Imaging · doi:10.1109/ic3d.2016.7823454

A modified descriptor for blob detection in nonlinear scale space

Zhao, L., Ding, Y., & Xu, H. M. (2017) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2265512

Active registration models

Marstal, K., & Klein, S. (2017) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2254356

TOWARDS A COMPUTER VISION BASED QUALITY ASSESSMENT OF TAHITIAN PEARLS: Automatic Nacre Thickness Measurement and Color Classification

Loesdau, M. (2016) · HAL

Layered Multitask Tracker via Spatial–Temporal Laplacian Graph

Fan, B., Li, X., & Cong, Y. (2017) · IEEE Signal Processing Letters · doi:10.1109/lsp.2017.2756998

Online multi-person tracking using feature-less location measurements

Farag, E. W. (2016) · DSpace@MIT (Massachusetts Institute of Technology)

Moving object tracking with feature learning and inheriting

Xiaoyan, S., & Faliang, C. (2017) · Chinese Automation Congress · doi:10.1109/cac.2017.8242893

Combined Mean Shift and Interactive Multiple Model for Visual Tracking by Fusing Multiple Cues

Dhassi, Y., & Aarab, A. (2018) · Lecture notes in networks and systems · doi:10.1007/978-3-319-74500-8_26

Object Tracking Based on Position Vectors and Pattern Matching

Reddy, V. P., & Fathima, A. A. (2018) · Lecture notes in electrical engineering · doi:10.1007/978-981-10-8354-9_37

An improved multiple instance learning tracking algorithm based on occlusion detection

Li, N., Li, D., Liu, W., & Qi, X. (2018) · IEEE Conference on Industrial Electronics and Applications (ICIEA) · doi:10.1109/iciea.2018.8398106

Real-Time RGBD Object Tracking via Collaborative Appearance and Motion Models

Chen, D., Liu, Z., Wu, H., & Zhan, J. (2018) · Communications in computer and information science · doi:10.1007/978-981-13-1651-7_40

Weak-structure-aware visual object tracking with bottom-up and top-down context exploration

Liu, N., Liu, C., Wu, H., Zhu, H., & Zhan, J. (2018) · Signal Processing Image Communication · doi:10.1016/j.image.2018.08.005

Robust Visual Tracking via Patch Descriptor and Structural Local Sparse Representation

Song, Z., Sun, J., Yu, J., & Liu, S. (2018) · Algorithms · doi:10.3390/a11080126

Robust visual tracking via combinative deep learning

Wen, J., Zhao, J., Liu, P., & Wang, H. (2018) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1074/1/012125

Improving Real-Time Pedestrian Detection Using Adaptive Confidence Thresholding and Inter-Frame Correlation

Al-Shatnawi, M., Movahedi, V., Asif, A. A., & An, A. (2018) · IEEE International Workshop on Multimedia Signal Processing (MMSP) · doi:10.1109/mmsp.2018.8547103

Object Tracking Using Sparsity Based Discriminative Minimum-Spanning-Tree

Man, X., Dun, M., Lin, X., & Xia, F. (2019) · IEEE Access · doi:10.1109/access.2019.2896959

Robust Distribution Fields Tracking based on Bayesian Mutual Information

Lu, R., Xiaogang, Y., Shen, L., & Chen, S. (2018) · Chinese Automation Congress · doi:10.1109/cac.2018.8623357

Scale Adaptive Distractor Aware Visual Object Tracker

Kurup, A. (2018) · IEEE Recent Advances in Intelligent Computational Systems · doi:10.1109/raics.2018.8635076

Visual Tracking Algorithm Based on Improved Kernelized Correlation Filters

Zhang, F., & Wang, Z. (2018) · International Conference on Networking and Network Applications (NaNA) · doi:10.1109/nana.2018.8648755

Optimal location estimation using a metaheuristic algorithm and deep learning for visual tracking

Touil, D. E., & Terki, N. (2018) · International Symposium on Signal, Image, Video and Communications (ISIVC) · doi:10.1109/isivc.2018.8709202

Tracking system of Mine Patrol Robot for Low Illumination EnvironmentPreprint

You, S., Zhu, H. J., Li, M., Wang, L., & Tang, C. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1907.01806

Multi-Cue Cascades for Robust Visual Tracking

Ding, F., Li, C., Li, T., & Yang, W. (2019) · IEEE Access · doi:10.1109/access.2019.2938187

Performance Evaluation of Bio-Inspired based Visual Tracking Algorithm

Nirmala, A. B., Arivalagan, S., & Sudhakar, P. (2019) · International Conference on Electronics, Communication and Aerospace Technology (ICECA) · doi:10.1109/iceca.2019.8821794

A Machine Learning Framework for Building Passive Surveillance Photogrammetry Models

Sturzinger, E. M., Whitehall, B. L., Tyler, J. C., & Lowrance, C. J. (2019) · IEEE SoutheastCon · doi:10.1109/southeastcon42311.2019.9020437

Independent component analysis with reference multifeature integration for visual object tracking via adaptive update

Luo, Y., Wang, J., Zhang, Y., Chen, S., Luo, F., & Li, D. (2019) · Journal of Electronic Imaging · doi:10.1117/1.jei.28.5.053031

Sparse Acceleration Algorithm Based on Likelihood Upper Bound

Liu, P., & Wang, F. (2019) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-34387-3_21

Visual Object Tracking Using Perceptron Forests and Optical Flow

Nakum, G., Guha, P., & Baruah, R. D. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-34872-4_58

Progress and Outlook of Visual Tracking: Bibliographic Analysis and Perspective

Liu, Y., Wang, K., Li, X., Bai, T., & Wang, F. (2019) · IEEE Access · doi:10.1109/access.2019.2959942

Target Tracking Control Based on Dual Model Fusion

Li, K., Zha, W., Meng, X., & Zhao, X. (2019) · IEEE International Conference on Robotics and Biomimetics (ROBIO) · doi:10.1109/robio49542.2019.8961520

Visual Object Tracking Fusing CNN and Color Histogram based Tracker and Depth Estimation for Automatic Immersive Audio Mixing

Park, S.-J., Islam, M. M., & Baek, J.-H. (2020) · KSII Transactions on Internet and Information Systems · doi:10.3837/tiis.2020.03.012

Traffic sign detection and recognition in natural scene based on human visual perception mechanism

Yu, L., Jin, M., & Zhou, K. (2019) · IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems · doi:10.1109/cyber46603.2019.9066593

Spherical approach: Objects Tracking in Catadioptric System Using The GGD Distribution

Khald, A., Radgui, A., & Rziza, M. (2019) · International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS) · doi:10.1109/isacs48493.2019.9068921

Intelligence Distribution Network

Teerapittayanon, S. (2019) · Digital Access to Scholarship at Harvard (DASH) (Harvard University)

Learning Target‐Adaptive Correlation Filters for Visual Tracking

She, Y., Yi, Y., & Gu, J. (2020) · Computer Graphics Forum · doi:10.1111/cgf.14153

Particle Swarm Optimization and Particle Filter Applied to Object Tracking

Xia, G. (2016) · NDSU Repository (North Dakota State University)

Co-Inference Discriminative Tracking Through Multi-Task Siamese Network

Chen, Y., Du, J., & Zhong, B. (2020) · IEEE Access · doi:10.1109/access.2020.3045036

Analysis of Target Detection and Tracking for Intelligent Vision System

Kalirajan, K., Balaji, K., Venugopal, D., & Seethalakshmi, V. (2021) · Studies in computational intelligence · doi:10.1007/978-3-030-65661-4_3

New performance measures for object tracking under complex environments

Mondal, A. (2021) · Multimedia Systems · doi:10.1007/s00530-021-00775-9

Siamese Fully Convolutional Tracker with Motion Correction

Francis, M., & Guha, P. (2021) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr48806.2021.9412986

Evaluation of Robust Covariance Estimation for Object Detection

Tamayo-Arango, A. F., Escudero, D. P., & Vidal-Correa, J. P. (2021) · El Repositorio Institucional de la Universidad EAFIT (Universidad EAFIT)

Object Tracking in Video Using the TLD and CMT Fusion Model

Trần, H. (2021) · International Journal of Computer and Information Technology(2279-0764) · doi:10.24203/ijcit.v10i5.151

Distributional Feature Mapping in Data Classification

Rahman, M. H. (2020) · Spectrum Research Repository (Concordia University)

Adaptive Eigenmodes for Robust Object Tracking

Liu, M., Qi, Y., Wang, Y., Liu, B., & Liu, W. (2021) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc52423.2021.9659130

Multi People Tracking using Related Motion Patterns Based on ParticlesPreprint

Bartkowiak, R., Vantassel, P., & Mclaughlin, R. (2020) · doi:10.31219/osf.io/hctmp

Subject tracking robotic manipulator using pan-tilt mechanism

Sulthana, S. F., Wise, C. T. A., & Iqbal, U. M. (2022) · AIP conference proceedings · doi:10.1063/5.0095645

Monitoring Mood in a Stream of Self-reflections

Hoenkamp, E. C., & Gibson, A. (2022) · International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management · doi:10.5220/0011559700003335

Crowd sensing and spatiotemporal analysis in urban open space using multi‐viewpoint geotagged videos

Liu, F., Han, Z., Song, H., Wang, J., Liu, C., & Ban, G. (2023) · Transactions in GIS · doi:10.1111/tgis.13036

Light field saliency object detection based on self-selected multimodal fusion

Wu, H., & Xu, D. (2023) · International Conference on Advanced Algorithms and Signal Image Processing (AASIP) · doi:10.1117/12.3005914

TaCoTrack: Tracking Object With Temporal Context

Wang, Z., & Wang, B. (2023) · Chinese Control and Decision Conference (CCDC) · doi:10.1109/ccdc58219.2023.10327428

Dynamic Queries through Augmented Reality for Intelligent Video Systems

Montes-Martínez, J.-R., Jiménez‐Hernández, H., Herrera-Navarro, A. M., Díaz-Jiménez, L.-A., Pérez-Ramos, J.-L., & Vargas, J. C. S. (2023) · Applied System Innovation · doi:10.3390/asi7010001

A Bio-Inspired Computational Model for the3D Motion Estimation

Zhang, D., Ping, L., Wu, Q., & Ye, L. (2024) · IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) · doi:10.1109/vrw62533.2024.00249

A Distributed Particle Filter Applied in Single Object Tracking

Wang, D., & Chen, M. (2024) · Journal of Computer and Communications · doi:10.4236/jcc.2024.128006

Optimizing a Novel Tracking System for Living Beings and Objects through Advanced Mathematical Modeling and Graph Theory

Ariss, A., Ennejjai, I., Mabrouki, J., & Ziti, S. (2024) · Data & Metadata · doi:10.56294/dm2024.406

Research orientation for visual tracking models

Kumar, A. (2023) · CRC Press eBooks · doi:10.1201/9781003456322-2

Survey of Generative and Discriminative Appearance Models in Visual Object Tracking

Remya, K. R., & Krishnan, C. V. (2018) · International journal of advance research, ideas and innovations in technology · Cited by 2

Robust appearance modeling for object detection and tracking: a survey of deep learning approaches

Mumuni, A., & Mumuni, F. (2022) · Progress in Artificial Intelligence · doi:10.1007/s13748-022-00290-6 · Cited by 8

Tracking objects in video using motion and appearance models

Sankaranarayanan, A. C., Chellappa, R., & Zheng, Q. (2005) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2005.1530075 · Cited by 4

A hierarchical adaptive model for robust short-term visual tracking

Zajc, L. Č. (2015) · Repository of the University of Ljubljana (University of Ljubljana)