Efficient object tracking using hierarchical convolutional features model and correlation filters

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

Kernel-based object tracking

Comaniciu, D., Ramesh, V., & Meer, P. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1195991 · Cited by 4,560 · see citing works

Fully-Convolutional Siamese Networks for Object Tracking

Bertinetto, L., Valmadre, J., Henriques, J. F., Vedaldi, A., & Torr, P. H. S. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-48881-3_56 · Cited by 4,546 · see citing works

Visual object tracking using adaptive correlation filters

Bolme, D., Beveridge, J. R., Draper, B. A., & Lui, Y. M. (2010) · 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2010.5539960 · Cited by 3,406 · see citing works

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

Incremental Learning for Robust Visual Tracking

Ross, D. A., Lim, J., Lin, R.-S., & Yang, M.-H. (2008) · International Journal of Computer Vision · doi:10.1007/s11263-007-0075-7 · Cited by 3,061 · see citing works

ECO: Efficient Convolution Operators for Tracking

Danelljan, M., Bhat, G., Khan, F. S., & Felsberg, M. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.733 · Cited by 2,805 · 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

Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking

Danelljan, M., Robinson, A., Shahbaz Khan, F., & Felsberg, M. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-46454-1_29 · Cited by 1,853 · see citing works

Staple: Complementary Learners for Real-Time Tracking

Bertinetto, L., Valmadre, J., Golodetz, S., Mikšík, O., & Torr, P. H. S. (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.2016.156 · Cited by 1,825 · 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

Adaptive Color Attributes for Real-Time Visual Tracking

Danelljan, M., Khan, F. S., Felsberg, M., & van de Weijer, J. (2014) · 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.2014.143 · Cited by 1,541 · 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

Discriminative Scale Space Tracking

Danelljan, M., Hager, G., Khan, F. S., & Felsberg, M. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2609928 · Cited by 1,315 · see citing works

Learning Background-Aware Correlation Filters for Visual Tracking

Galoogahi, H. K., Fagg, A., & Lucey, S. (2017) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.129 · Cited by 1,270 · see citing works

Discriminative Correlation Filter with Channel and Spatial Reliability

Lukezic, A., Vojir, T., Zajc, L. C., Matas, J., & Kristan, M. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.515 · Cited by 1,153 · 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

Ensemble Tracking

Avidan, S. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.35 · Cited by 1,112 · 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

Convolutional Features for Correlation Filter Based Visual Tracking

Danelljan, M., Hager, G., Khan, F. S., & Felsberg, M. (2015) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw.2015.84 · Cited by 1,002 · see citing works

Long-term correlation tracking

Ma, C., Yang, X., Zhang, C., & Yang, M. (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.2015.7299177 · Cited by 980 · see citing works

Learning Dynamic Siamese Network for Visual Object Tracking

Guo, Q., Feng, W., Zhou, C., Huang, R., Wan, L., & Wang, S. (2017) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.196 · Cited by 904 · see citing works

Hedged Deep Tracking

Qi, Y., Zhang, S., Qin, L., Yao, H., Huang, Q., Lim, J., & 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.2016.466 · Cited by 735 · see citing works

Fast Visual Tracking via Dense Spatio-temporal Context Learning

Zhang, K., Lei Zhang, A., Liu, Q., Zhang, D. D., & Yang, M. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-10602-1_9 · Cited by 681 · see citing works

Fast Compressive Tracking

Zhang, K., Lei Zhang, A., & Yang, M. (2014) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2014.2315808 · Cited by 537 · see citing works

Discriminative Correlation Filter Tracker with Channel and Spatial Reliability

Lukežič, A., Vojíř, T., Zajc, L. Č., Matas, J., & Kristan, M. (2018) · International Journal of Computer Vision · doi:10.1007/s11263-017-1061-3 · Cited by 484 · see citing works

Correlation filters with limited boundaries

Galoogahi, H. K., Sim, T., & Lucey, S. (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.2015.7299094 · Cited by 362 · 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

Human Tracking Using Convolutional Neural Networks

Fan, J., Xu, W., Wu, Y. N., & Gong, Y. (2010) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2010.2066286 · Cited by 350 · see citing works

DCFNet: Discriminant Correlation Filters Network for Visual TrackingPreprint

Wang, Q., Gao, J. G., Xing, J., Zhang, M., & Hu, W. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1704.04057 · Cited by 305 · see citing works

Co-Tracking Using Semi-Supervised Support Vector Machines

Tang, F., Brennan, S., Zhao, Q., & Hai, T. (2007) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2007.4408954 · Cited by 252 · see citing works

Robust Visual Tracking via Hierarchical Convolutional Features

Ma, C., Huang, J., Yang, X., & Yang, M. (2018) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2018.2865311 · Cited by 209 · see citing works

Incremental Tensor Subspace Learning and Its Applications to Foreground Segmentation and Tracking

Hu, W., Li, X., Zhang, X., Shi, X., Maybank, S. J., & Zhang, Z. M. (2010) · International Journal of Computer Vision · doi:10.1007/s11263-010-0399-6 · Cited by 149 · see citing works

A multi-view model for visual tracking via correlation filters

Li, X., Liu, Q., He, Z., Wang, H., Zhang, C., & Chen, W.-S. (2016) · Knowledge-Based Systems · doi:10.1016/j.knosys.2016.09.014 · Cited by 128 · see citing works

Infrared target tracking via weighted correlation filter

He, Y., Li, M., Zhang, J., et al. (2015) · Infrared Physics & Technology · doi:10.1016/j.infrared.2015.09.010 · Cited by 57 · see citing works

On-line fusion of trackers for single-object tracking

Leang, I., Herbin, S., Girard, B., & Jacques Droulez, A. (2017) · Pattern Recognition · doi:10.1016/j.patcog.2017.09.026 · Cited by 36 · see citing works

Incremental MPCA for Color Object Tracking

Wang, D., Lu, H., & Chen, Y. (2010) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2010.433 · Cited by 30 · see citing works

Robust infrared target tracking using discriminative and generative approaches

Asha, C. S., & Narasimhadhan, A. V. (2017) · Infrared Physics & Technology · doi:10.1016/j.infrared.2017.05.022 · Cited by 30 · 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

Tracking and frame-rate enhancement for real-time 2D human pose estimation

Vidanpathirana, M., Sudasingha, I., Vidanapathirana, J., et al. (2019) · The Visual Computer · doi:10.1007/s00371-019-01757-9 · Cited by 23 · see citing works

Multi-feature tracking via adaptive weights

Jiang, H., Li, J., Wang, D., & Lu, H. (2016) · Neurocomputing · doi:10.1016/j.neucom.2016.03.074 · Cited by 22 · see citing works

Background-Suppressed Correlation Filters for Visual Tracking

Chen, Z., Guo, Q., Wan, L., et al. (2018) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme.2018.8486453 · Cited by 20 · see citing works

End-to-end deep metric network for visual tracking

Tian, S., Shen, S., Tian, G., et al. (2019) · The Visual Computer · doi:10.1007/s00371-019-01730-6 · Cited by 12 · see citing works

A particle filter tracking algorithm based on adaptive feature fusion strategy

Fen, X., & Zhao, L. (2012) · World Congress on Intelligent Control and Automation · doi:10.1109/wcica.2012.6359353 · Cited by 9 · see citing works

Visual tracking tracker via object proposals and co-trained kernelized correlation filters

Mbelwa, J., Zhao, Q., & Wang, F. (2019) · The Visual Computer · doi:10.1007/s00371-019-01727-1 · Cited by 9 · see citing works

Fast and sub-pixel precision target tracking algorithm for intelligent dual-resolution camera

He, Z., Li, Q., Feng, H., et al. (2019) · The Visual Computer · doi:10.1007/s00371-019-01724-4 · Cited by 8 · see citing works

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

A survey on deep multimodal learning for computer vision: advances, trends, applications, and datasets

Bayoudh, K., Knani, R., Hamdaoui, F., & Mtibaa, A. (2022) · The Visual Computer · doi:10.1007/s00371-021-02166-7 · Cited by 456 · see citing works

A survey on online learning for visual tracking

Abbass, M. Y., Kwon, K.-C., Kim, N., Abdelwahab, S. A., El-Samie, F. E. A., & Khalaf, A. A. M. (2021) · The Visual Computer · doi:10.1007/s00371-020-01848-y · Cited by 64 · see citing works

Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative FeedbackPreprint

Prabhudesai, M., Ke, T.-W., Li, A. C., et al. (2023) · arXiv (Cornell University) · doi:10.48550/arxiv.2311.16102

Stable Discriminative Dictionary Learning Via Discriminative Deviation

Khan, N., & Tappen, M. F. (2012) · Journal of International Crisis and Risk Communication Research · Cited by 6 · see citing works

Discriminative Regions: A Substrate for Analyzing Life-Logging Image Sequences

Moghimi, M. K., Kerr, J., Johnson, E., Godbole, S. V., & Belongie, S. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-14442-9_42 · Cited by 2 · see citing works

Searching and Learning Discriminative Regions for Fine-Grained Image Retrieval and Classification

Kangbo, S. U. N., & Zhu, J. (2021) · IEICE Transactions on Information and Systems · doi:10.1587/transinf.2021edp7094 · Cited by 6 · see citing works

Discriminative Spatial Attention for Robust Tracking

Fan, J., Wu, Y. N., & Dai, S. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15549-9_35 · Cited by 96 · see citing works