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Visual object tracking is an important computer vision problem with numerous real-world applications including human-computer interaction, autonomous vehicles, robotics, motion-based recognition, video indexing, surveillance and security.
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D. Yeo, J. Son, B. Han, and J. Hee Han, “Superpixel-based tracking-by-segmentation using markov chains,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2017, pp. 1812–1821
2017
Later among the works it cites.
Y. Yi, Y. Cheng, and C. Xu, “Visual tracking based on hierarchical framework and sparse representation,” Multimedia Tools and Applications , pp. 1–23, 2017
2017
Later among the works it cites.
S. Yun, J. Choi, Y. Yoo, K. Yun, and J. Young Choi, “Action-decision networks for visual tracking with deep reinforcement learning,” in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2017
2017
Later among the works it cites.
B. Zhang, Z. Li, A. Perina, A. Del Bue, V. Murino, and J. Liu, “Adaptive local movement modeling for robust object tracking,” IEEE Transactions on Circuits and Systems for Video Technology , vol. 27, no. 7, pp. 1515–1526, 2017
2017
Later among the works it cites.
2017
Later among the works it cites.
T. Zhang, C. Xu, and M.-H. Yang, “Multi-task correlation particle filter for robust object tracking,” in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , July 2017
2017
Later among the works it cites.
I. Leang, S. Herbin, B. Girard, and J. Droulez, “On-line fusion of trackers for single-object tracking,” Pattern Recognition , vol. 74, pp. 459–473, 2018
2018
Closest in time.