[1] |
Mei X, Ling H. Robust visual tracking using L1 minimization[C]//IEEE, International Conference on Computer Vision. DBLP, 2009: 1436-1443. |
[2] |
Bao C, Wu Y, Ling H, et al. Real time robust L1 tracker using accelerated proximal gradient approach[C]//IEEE Conference on Computer Vision and Pattern Recognition. IEEE Computer Society, 2012: 1830-1837. |
[3] |
Zhang T, Bibi A, Ghanem B. In defense of sparse tracking: Circulant sparse tracker[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016: 3880-3888. |
[4] |
Zhan J, Wu H, Zhang H, et al. Cascaded probabilistic tracking with supervised dictionary learning [J]. Signal Processing: Image Communication, 2015, 39: 212-225. doi: 10.1016/j.image.2015.09.002 |
[5] |
Zhang T, Jia K, Xu C, et al. Partial occlusion handling for visual tracking via robust part matching[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2014: 1258-1265. |
[6] |
Bolme D S, Beveridge J R, Draper B A, et al. Visual object tracking using adaptive correlation filters[C]//2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE, 2010: 2544-2550. |
[7] |
Danelljan M, Shahbaz Khan F, Felsberg M, et al. Adaptive color attributes for real-time visual tracking[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2014: 1090-1097. |
[8] |
Ma C, Huang J B, Yang X, et al. Hierarchical convolutional features for visual tracking[C]//Proceedings of the IEEE International Conference on Computer Vision, 2015: 3074-3082. |
[9] |
Li Y, Zhu J. A scale adaptive kernel correlation filter tracker with feature integration[C]//European Conference on Computer Vision, 2014: 254-265. |
[10] |
Danelljan M, Häger G, Khan F, et al. Accurate scale estimation for robust visual tracking[C]//British Machine Vision Conference, 2014. |
[11] |
Hong Z, Chen Z, Wang C, et al. Multi-store tracker (muster): A cognitive psychology inspired approach to object tracking[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015: 749-758. |
[12] |
Ma C, Yang X, Zhang C, et al. Long-term correlation tracking[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015: 5388-5396. |
[13] |
Danelljan M, Hager G, Shahbaz Khan F, et al. Learning spatially regularized correlation filters for visual tracking[C]//Proceedings of the IEEE International Conference on Computer Vision, 2015: 4310-4318. |
[14] |
Danelljan M, Robinson A, Khan F S, et al. Beyond correlation filters: Learning continuous convolution operators for visual tracking[C]//European Conference on Computer Vision, 2016: 472-488. |
[15] |
Danelljan M, Bhat G, Khan F S, et al. ECO: Efficient Convolution Operators for Tracking[C]//CVPR, 2017, 1(2): 3. |
[16] |
Galoogahi H K, Fagg A, Lucey S. Learning background-aware correlation filters for visual tracking[C]//ICCV, 2017: 1144-1152. |
[17] |
Xu T, Feng Z H, Wu X J, et al. Learning adaptive discriminative correlation filters via temporal consistency preserving spatial feature selection for robust visual object tracking[J]. IEEE Transactions on Image Processing, 2019, 28(11): 5596-5609. DOI: 10.1109/TIP.2019.2919201. |
[18] |
Dai K, Wang D, Lu H, et al. Visual tracking via adaptive spatially-regularized correlation filters[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019: 4670-4679. |
[19] |
Henriques J F, Caseiro R, Martins P, et al. High-speed tracking with kernelized correlation filters[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(3): 583-596. |
[20] |
Mueller M, Smith N, Ghanem B. Context-aware correlation filter tracking[C]//Proc of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, 2(3): 6. |
[21] |
Wu Y, Lim J, Yang M H. Object tracking benchmark[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(9): 1834-1848. |
[22] |
Wu Y, Lim J, Yang M H. Online object tracking: A benchmark[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013: 2411-2418. |
[23] |
Wu Y, Lim J, Yang M H. Object tracking benchmark [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(9): 1834-1848. |
[24] |
Xu T, Feng Z H, Wu X J, et al. Learning adaptive discriminative correlation filters via temporal consistency preserving spatial feature selection for robust visual object tracking[J]. IEEE Transactions on Image Processing, 2019, 28(11): 5596-5609. |
[25] |
Henriques J F, Caseiro R, Martins P, et al. High-speed tracking with kernelized correlation filters [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(3): 583-596. |
[26] |
Ma C, Yang X, Zhang C, et al. Long-term correlation tracking[C]//Proceedings of the IEEE conference on computer vision and pattern recognition, 2015: 5388-5396. |
[27] |
Bertinetto L, Valmadre J, Henriques J F, et al. Fully-convolutional siamese networks for object tracking[C]//European Conference on Computer Vision, 2016: 850-865. |
[28] |
Li B, Yan J, Wu W, et al. High performance visual tracking with siamese region proposal network[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018: 8971-8980. |
[29] |
Li Y, Zhang X. SiamVGG: Visual tracking using deeper siamese networks[J]. arXiv: Computer Vision and Pattern Recognition, 2019. |
[30] |
Zhang T, Xu C, Yang M H. Multi-task correlation particle filter for robust object tracking[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017: 4335-4343. |
[31] |
Zhang L, Gonzalez-Garcia A, Weijer J, et al. Learning the model update for siamese trackers[C]//Proceedings of the IEEE International Conference on Computer Vision, 2019: 4010-4019. |