|
[1] W. Choi, C. Pantofaru, and S. Savarese, "A general framework for tracking multiple people from a moving camera," in Pattern Analysis and Machine Intelligence, vol. 35, pp. 1577-1591, 2013. [2] L. Cehovin, M. Kristan, and A. Leonardis, "An adaptive coupled-layer visual model for robust visual tracking," in Computer Vision, 2011, pp. 1363-1370. [3] S. Hare, A. Saffari, and P. H. Torr, "Struck: Structured output tracking with kernels," in Computer Vision, 2011, pp. 263-270. [4] Y. Wu, J. Lim, and M.-H. Yang, "Online object tracking: A benchmark," in Computer Vision and Pattern Recognition, 2013, pp. 2411-2418. [5] A. Smeulders, D. Chu, R. Cucchiara, S. Calderara, A. Dehghan, and M. Shah, "Visual tracking: An experimental survey," in Pattern Analysis and Machine Intelligence, 2014, pp. 1442-1468. [6] W. Zhong, H. Lu, and M.-H. Yang, "Robust object tracking via sparsity-based collaborative model," in Computer Vision and Pattern Recognition, 2012, pp. 1838-1845. [7] Z. Kalal, J. Matas, and K. Mikolajczyk, "P-N learning: Bootstrapping binary classifiers by structural constraints," in Computer Vision and Pattern Recognition, 2010, pp. 49-56. [8] J. Kwon and K. M. Lee, "Visual tracking decomposition," in Computer Vision and Pattern Recognition, 2010, pp. 1269-1276. [9] J. Kwon and K. M. Lee, "Tracking by Sampling and Integrating Multiple Trackers," in Pattern Analysis and Machine Intelligence, 2014, pp. 1428-1441. [10] J. Sullivan, A. Blake, M. Isard, and J. MacCormick, "Bayesian object localisation in images," in Computer Vision, vol. 44, pp. 111-135, 2001. [11] S. Oron, A. Bar-Hillel, D. Levi, and S. Avidan, "Locally orderless tracking," in Computer Vision and Pattern Recognition, 2012, pp. 1940-1947. [12] J. Kwon and K. M. Lee, "Tracking of a non-rigid object via patch-based dynamic appearance modeling and adaptive basin hopping monte carlo sampling," in Computer Vision and Pattern Recognition, 2009, pp. 1208-1215. [13] B. Babenko, M.-H. Yang, and S. Belongie, "Visual tracking with online multiple instance learning," in Computer Vision and Pattern Recognition, 2009, pp. 983-990. [14] K. Briechle and U. D. Hanebeck, "Template matching using fast normalized cross correlation," in Aerospace/Defense Sensing, Simulation, and Controls, 2001, pp. 95-102. [15] S. Baker and I. Matthews, "Lucas-kanade 20 years on: A unifying framework," in 42 Computer Vision, vol. 56, pp. 221-255, 2004. [16] H. T. Nguyen and A. W. Smeulders, "Fast occluded object tracking by a robust appearance filter," in Pattern Analysis and Machine Intelligence, vol. 26, pp. 1099-1104, 2004. [17] A. Adam, E. Rivlin, and I. Shimshoni, "Robust fragments-based tracking using the integral histogram," in Computer Vision and Pattern Recognition, 2006, pp. 798-805. [18] D. Comaniciu, V. Ramesh, and P. Meer, "Real-time tracking of non-rigid objects using mean shift," in Computer Vision and Pattern Recognition, 2000, pp. 142-149. [19] D. A. Ross, J. Lim, R.-S. Lin, and M.-H. Yang, "Incremental learning for robust visual tracking," in Computer Vision, vol. 77, pp. 125-141, 2008. [20] J. Kwon, K. M. Lee, and F. C. Park, "Visual tracking via geometric particle filtering on the affine group with optimal importance functions," in Computer Vision and Pattern Recognition, 2009, pp. 991-998. [21] L. Cehovin, M. Kristan, and A. Leonardis, "An adaptive coupled-layer visual model for robust visual tracking," in Computer Vision, 2011, pp. 1363-1370. [22] X. Mei and H. Ling, "Robust visual tracking using ℓ1 minimization," in Computer Vision, 2009, pp. 1436-1443. [23] X. Mei, H. Ling, Y. Wu, E. Blasch, and L. Bai, "Minimum error bounded efficient ℓ1 tracker with occlusion detection," in Computer Vision and Pattern Recognition, 2011, pp. 1257-1264. [24] H. T. Nguyen and A. W. Smeulders, "Robust tracking using foreground-background texture discrimination," in Computer Vision, vol. 69, pp. 277-293, 2006. [25] M. Godec, P. M. Roth, and H. Bischof, "Hough-based tracking of non-rigid objects, " in Computer Vision, 2011. [26] S. Wang, H. Lu, F. Yang, and M.-H. Yang, "Superpixel tracking," in Computer Vision, 2011. [27] R. Collins and Y. Liu, "Online selection of discriminative tracking features," in Pattern Analysis and Machine Intelligence, pp. 1631-1643, 2005. [28] F. Henriques, R. Caseiro, P. Martins, and J. Batista, "Exploiting the Circulant Structure of Tracking-by-Detection with Kernels," in European Conference on Computer Vision, 2012. |