TY - GEN
T1 - The robust patches-based tracking method via sparse representation
AU - Li, Yi
AU - He, Zhenyu
AU - Yi, Shuangyan
AU - Yang, Wei Guo
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/12/11
Y1 - 2014/12/11
N2 - Occlusion is one important problem in single object tracking. However, conventional methods are not capable of making full use of the spatial information because of occlusion, which may lead to the drift. In this paper, we propose a robust patches-based tracking method via sparse representation, namely RPSR, which selects the unoccluded patches, and adaptively assigns larger contribution factors to them. The experimental results on popular benchmark video sequences show that our RPSR method is effective and outperforms the state-of-the-art methods for single object tracking.
AB - Occlusion is one important problem in single object tracking. However, conventional methods are not capable of making full use of the spatial information because of occlusion, which may lead to the drift. In this paper, we propose a robust patches-based tracking method via sparse representation, namely RPSR, which selects the unoccluded patches, and adaptively assigns larger contribution factors to them. The experimental results on popular benchmark video sequences show that our RPSR method is effective and outperforms the state-of-the-art methods for single object tracking.
UR - https://www.scopus.com/pages/publications/84920715644
U2 - 10.1109/SPAC.2014.6982667
DO - 10.1109/SPAC.2014.6982667
M3 - 会议稿件
AN - SCOPUS:84920715644
T3 - Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2014
SP - 109
EP - 113
BT - Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2014
Y2 - 18 October 2014 through 19 October 2014
ER -