TY - GEN
T1 - Visual object tracking based on particle filter re-detection
AU - Yuan, Di
AU - Zhao, Guanglei
AU - Li, Donghao
AU - He, Zhenyu
AU - Luo, Nan
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - The accurate localization of a object target is a challenging research issue in visual tracking. Most correlation filter based tracking algorithms has been degraded their performances because of the weaknesses of their search strategy. This paper investigates the problem of accurate location the object target in visual tracking sequences. We propose a novel particle filter re-detection tracking approach for target re-location, when the kernelized correlation filters tracking result becomes unreliable. Additionally, we give a new target scale evaluation. Different from other proposed scale search strategies, our method merely consider the difference between the maximum value of the response map of adjacent frames. Extensive experiments are performed on the OTB2013 dataset. On the result of this benchmark, the proposed approach achieves a pretty performance.
AB - The accurate localization of a object target is a challenging research issue in visual tracking. Most correlation filter based tracking algorithms has been degraded their performances because of the weaknesses of their search strategy. This paper investigates the problem of accurate location the object target in visual tracking sequences. We propose a novel particle filter re-detection tracking approach for target re-location, when the kernelized correlation filters tracking result becomes unreliable. Additionally, we give a new target scale evaluation. Different from other proposed scale search strategies, our method merely consider the difference between the maximum value of the response map of adjacent frames. Extensive experiments are performed on the OTB2013 dataset. On the result of this benchmark, the proposed approach achieves a pretty performance.
KW - Visual object tracking
KW - correlation filter
KW - particle filter re-detection
KW - scale evaluation
UR - https://www.scopus.com/pages/publications/85045897898
U2 - 10.1109/SPAC.2017.8304242
DO - 10.1109/SPAC.2017.8304242
M3 - 会议稿件
AN - SCOPUS:85045897898
T3 - 2017 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2017
SP - 7
EP - 12
BT - 2017 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2017
Y2 - 15 December 2017 through 17 December 2017
ER -