Improved kernelized correlation filter tracking by using spatial regularization

Object Detection with Discriminatively Trained Part-Based Models

Felzenszwalb, P. F., Girshick, R. B., McAllester, D., & Ramanan, D. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.167 · Cited by 9,853 · see citing works

High-Speed Tracking with Kernelized Correlation Filters

Henriques, J. F., Caseiro, R., Martins, P., & Batista, J. (2015) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2014.2345390 · Cited by 5,753 · see citing works

Object tracking

Yılmaz, A., Javed, O., & Shah, M. A. (2006) · ACM Computing Surveys · doi:10.1145/1177352.1177355 · Cited by 4,807 · see citing works

Online Object Tracking: A Benchmark

Wu, Y., Lim, J., & Yang, M.-H. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2013.312 · Cited by 4,138 · see citing works

Visual object tracking using adaptive correlation filters

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Object Tracking Benchmark

Wu, Y., Lim, J., & Yang, M.-H. (2015) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2014.2388226 · Cited by 3,371 · see citing works

Tracking-Learning-Detection

Kalal, Z., Mikolajczyk, K., & Matas, J. (2012) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2011.239 · Cited by 3,357 · see citing works

Exploiting the Circulant Structure of Tracking-by-Detection with Kernels

Henriques, J. F., Caseiro, R., Martins, P., & Batista, J. (2012) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-33765-9_50 · Cited by 2,310 · see citing works

Learning Spatially Regularized Correlation Filters for Visual Tracking

Danelljan, M., Hager, G., Khan, F. S., & Felsberg, M. (2015) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.490 · Cited by 2,171 · see citing works

Accurate Scale Estimation for Robust Visual Tracking

Danelljan, M., Hager, G., Khan, F. S., & Felsberg, M. (2014) · British Machine Vision Conference (BMVC) · doi:10.5244/c.28.65 · Cited by 2,145 · see citing works

Robust object tracking with online multiple instance learning

Babenko, B., Yang, M.-H., & Belongie, S. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.226 · Cited by 2,007 · see citing works

Struck: Structured output tracking with kernels

Hare, S., Saffari, A., & Torr, P. H. S. (2011) · 2011 International Conference on Computer Vision · doi:10.1109/iccv.2011.6126251 · Cited by 1,831 · see citing works

Hierarchical Convolutional Features for Visual Tracking

Ma, C., Huang, J., Yang, X., & Yang, M. (2015) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.352 · Cited by 1,811 · see citing works

Visual Tracking: An Experimental Survey

Smeulders, A. W. M., Chu, D. M., Cucchiara, R., Calderara, S., Dehghan, A., & Shah, M. A. (2014) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2013.230 · Cited by 1,527 · see citing works

A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration

Li, Y., & Zhu, J. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-16181-5_18 · Cited by 1,461 · see citing works

MEEM: Robust Tracking via Multiple Experts Using Entropy Minimization

Zhang, J., Ma, S., & Sclaroff, S. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-10599-4_13 · Cited by 1,150 · see citing works

Semi-supervised On-Line Boosting for Robust Tracking

Gräbner, H., Leistner, C., & Bischof, H. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-88682-2_19 · Cited by 1,095 · see citing works

Support vector tracking

Avidan, S. (2004) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2004.53 · Cited by 1,043 · see citing works

The Visual Object Tracking VOT2015 Challenge Results

Kristan, M., Leonardis, A., Matas, J., Felsberg, M., Pflugfelder, R., Zajc, L. Č., Vojír, T., Häger, G., Lukežič, A., Eldesokey, A., et al. (2015) · 2015 IEEE International Conference on Computer Vision Workshop (ICCVW) · doi:10.1109/iccvw.2015.79 · Cited by 895 · see citing works

Learning Color Names for Real-World Applications

van de Weijer, J., Schmid, C., Verbeek, J. J., & Larlus, D. (2009) · IEEE Transactions on Image Processing · doi:10.1109/tip.2009.2019809 · Cited by 710 · see citing works

MUlti-Store Tracker (MUSTer): A cognitive psychology inspired approach to object tracking

Hong, Z., Chen, Z., Wang, C., Mei, X., Prokhorov, D. V., & Tao, D. (2015) · 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.2015.7298675 · Cited by 650 · see citing works

The Visual Object Tracking VOT2014 Challenge Results

Kristan, M., Pflugfelder, R. P., Leonardis, A., Matas, J., Zajc, L. Č., Nebehay, G., Vojíř, T., Fernández, G., Lukežič, A., Dimitriev, A., et al. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-16181-5_14 · Cited by 606 · see citing works

On-line Random Forests

Saffari, A., Leistner, C., Santner, J., Godec, M., & Bischof, H. (2009) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw.2009.5457447 · Cited by 502 · see citing works

Transfer Learning Based Visual Tracking with Gaussian Processes Regression

Gao, J. G., Ling, H., Hu, W., & Xing, J. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-10578-9_13 · Cited by 452 · see citing works

Robust Visual Tracking via Convolutional Networks without Training

Zhang, K., Liu, Q., Wu, Y., & Yang, M. (2016) · IEEE Transactions on Image Processing · doi:10.1109/tip.2016.2531283 · Cited by 373 · see citing works

Reliable Patch Trackers: Robust visual tracking by exploiting reliable patches

Li, Y., Zhu, J., & Hoi, S. C. H. (2015) · 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.2015.7298632 · Cited by 358 · see citing works

Integrated Imaging and Vision Techniques for Industrial Inspection

Liu, Z., Ukida, H., Ramuhalli, P., & Niel, K. S. (2015) · Advances in computer vision and pattern recognition · doi:10.1007/978-1-4471-6741-9 · Cited by 270 · see citing works

Multi-channel Correlation Filters

Galoogahi, H. K., Sim, T., & Lucey, S. (2013) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2013.381 · Cited by 266 · see citing works

Object Tracking via Dual Linear Structured SVM and Explicit Feature Map

Ning, J., Yang, J., Jiang, S., Lei Zhang, A., & Yang, M. (2016) · 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.2016.462 · Cited by 250 · see citing works

Multi-view ensemble manifold regularization for 3D object recognition

Hong, C., Yu, J., You, J., Chen, X., & Tao, D. (2015) · Information Sciences · doi:10.1016/j.ins.2015.03.032 · Cited by 82 · see citing works

Output Constraint Transfer for Kernelized Correlation Filter in Tracking

Zhang, B., Li, Z., Cao, X., Ye, Q., Chen, C., Shen, L., Perina, A., & Jill, R. (2016) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2016.2629509 · Cited by 75 · see citing works

A Low-Power High-Stability Flexible Scan Driver Integrated by IZO TFTs

Zhang, L., Huang, C.-Y., Li, G., Zhou, L., Wu, W., Xu, M., Wang, L., Ning, H., Yao, R., & Peng, J. (2016) · IEEE Transactions on Electron Devices · doi:10.1109/ted.2016.2529656 · Cited by 71 · see citing works

Constructing Adaptive Complex Cells for Robust Visual Tracking

Chen, D., Yuan, Z., Wu, Y., Zhang, G., & Zheng, N. (2013) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2013.142 · Cited by 60 · see citing works

Robust visual tracking via patch based kernel correlation filters with adaptive multiple feature ensemble

Chen, W., Zhang, K., & Liu, Q. (2016) · Neurocomputing · doi:10.1016/j.neucom.2016.06.048 · Cited by 47 · see citing works

Robust visual tracking via self‐similarity learning

Song, H., Zheng, Y., & Zhang, K. (2016) · Electronics Letters · doi:10.1049/el.2016.3011 · Cited by 43 · see citing works

Realtime and robust object matching with a large number of templates

Hong, C., Zhu, J., Yu, J., Cheng, J. S., & Chen, X. (2014) · Multimedia Tools and Applications · doi:10.1007/s11042-014-2305-7 · Cited by 14 · see citing works

Visual object tracking via non-local correlation attention learning

Gao, L., Liu, P., Ning, J., & Li, Y. (2022) · Knowledge-Based Systems · doi:10.1016/j.knosys.2022.109666 · Cited by 19 · see citing works

A circulant-matrix-based hybrid optical flow method for PIV measurement with large displacement

Ouyang, Z., Yang, H. S., Huang, Y., Zhang, Q., & Yin, Z. (2021) · Experiments in Fluids · doi:10.1007/s00348-021-03317-1 · Cited by 17 · see citing works

Local-Global Self-Attention for Transformer-Based Object Tracking

Chen, L., Gao, L., Jiang, Y., Li, Y., He, G., & Ningc, J. (2024) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2024.3434949 · Cited by 13 · see citing works

Visual tracking via context-aware local sparse appearance model

Li, G., Peng, M., Nai, K., Li, Z., & Li, K. (2018) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2018.09.004 · Cited by 12 · see citing works

Visual object tracking using sparse context-aware spatio-temporal correlation filter

Elayaperumal, D., & Joo, Y. H. (2020) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2020.102820 · Cited by 10 · see citing works

A WSM-based Comparative Study of Vision Tracking Methodologies

Bouraya, S., & Belangour, A. (2021) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2021.0120811 · Cited by 7 · see citing works

Size-aware visual object tracking via dynamic fusion of correlation filter-based part regressors

Memarmoghadam, A., & Moallem, P. (2019) · Signal Processing · doi:10.1016/j.sigpro.2019.05.021 · Cited by 6 · see citing works

Multiple Cues-Based Robust Visual Object Tracking Method

Khan, B., Jalil, A., Ali, A., Alkhaledi, K., Mehmood, K., Cheema, K. M., Murad, M., Tariq, H., & El-Sherbeeny, A. M. (2022) · Electronics · doi:10.3390/electronics11030345 · Cited by 5 · see citing works

Residual Attention Convolutional Network for Online Visual Tracking

Gao, L., Li, Y., & Ning, J. (2019) · IEEE Access · doi:10.1109/access.2019.2927791 · Cited by 2 · see citing works

YOLO-BOT-SORT: Multi-Objective Tracking Algorithms for Automated Cattle Monitoring

Zheng, Z., Zhang, Z., Weng, Z., & Qi, W. (2025) · IEEE International Conference on Signal Processing and Machine Learning (SPML) · doi:10.1109/spml66318.2025.11199764 · Cited by 1 · see citing works

Fast motion tracking based on moth-flame optimization and kernel correlation filter

Chen, Y., Nie, G., Zhang, H., Feng, Y., & Yang, G. (2020) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-192172 · Cited by 1 · see citing works

Efficient covering of target areas using a location prediction-based algorithm

Jang, S.-W. (2020) · The Journal of Supercomputing · doi:10.1007/s11227-020-03504-7 · Cited by 1 · see citing works

Adaptive Distraction Context Aware Tracking Based on Correlation FilterPreprint

Feng, F., Wu, X., Xu, T., Kittler, J., & Zhu, X. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1912.11325

A variable patch approach with polling mechanism for intelligent human tracking

Wagh, K., & Kanade, S. S. (2021) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2021.107127

Fast Spatially-Regularized Correlation Filters for Visual Object Tracking

Zhang, P., Guo, Q., & Feng, W. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-97304-3_5 · Cited by 6 · see citing works

Learning spatial-temporally regularized complementary kernelized correlation filters for visual tracking

Su, Z., Li, J., Chang, J., Song, C., Xiao, Y., & Wan, J. (2020) · Multimedia Tools and Applications · doi:10.1007/s11042-020-09028-9 · Cited by 2 · see citing works

Faster Spatially Regularized Correlation Filters for Visual TrackingPreprint

Hu, X., & Yang, Y. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1706.00140 · Cited by 1 · see citing works

Learning reliable-spatial and spatial-variation regularization correlation filters for visual tracking

Fu, H., Zhang, Y., Zhou, W., Wang, X., & Zhang, H. (2020) · Image and Vision Computing · doi:10.1016/j.imavis.2020.103869 · Cited by 8 · see citing works

Fast and object-adaptive spatial regularization for correlation filters based tracking

Zhang, P., Guo, Q., & Feng, W. (2019) · Neurocomputing · doi:10.1016/j.neucom.2019.01.060 · Cited by 26 · see citing works