TY - GEN
T1 - A Robust Algorithm for Long-term Object Tracking Based on PTAV
AU - Zhu, Lingmin
AU - Mo, Bo
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - Long-term object tracking is one of the most challenging problems in computer vision due to various factors such as deformation, abrupt motion, heavy occlusion and out-of-view. In this paper, we propose a tracking method based on Parallel Tracking and Verifying (PTAV). Firstly, we replace the fDSST tracker with a better performance tracker ECO-HC. Then we add self-test mechanism for the tracker, which include backtracking check using forward-backward overlap rate and multi-peak detection mechanism. At last, we modify the parallel framework between the tracker and the verifier in the PTAV, so that the algorithm can get timey feedback about the abnormal information. We perform experiments on the benchmark OTB-2015. Results show that our method has better accuracy and robustness in case of occlusion, out-of-view and other interference factors.
AB - Long-term object tracking is one of the most challenging problems in computer vision due to various factors such as deformation, abrupt motion, heavy occlusion and out-of-view. In this paper, we propose a tracking method based on Parallel Tracking and Verifying (PTAV). Firstly, we replace the fDSST tracker with a better performance tracker ECO-HC. Then we add self-test mechanism for the tracker, which include backtracking check using forward-backward overlap rate and multi-peak detection mechanism. At last, we modify the parallel framework between the tracker and the verifier in the PTAV, so that the algorithm can get timey feedback about the abnormal information. We perform experiments on the benchmark OTB-2015. Results show that our method has better accuracy and robustness in case of occlusion, out-of-view and other interference factors.
KW - PTAV
KW - backtracking check
KW - long-term object tracking
KW - multi-peak detection
UR - https://www.scopus.com/pages/publications/85081175074
U2 - 10.1109/IAEAC47372.2019.8997916
DO - 10.1109/IAEAC47372.2019.8997916
M3 - Conference contribution
AN - SCOPUS:85081175074
T3 - Proceedings of 2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2019
SP - 2686
EP - 2693
BT - Proceedings of 2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2019
A2 - Xu, Bing
A2 - Mou, Kefen
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2019
Y2 - 20 December 2019 through 22 December 2019
ER -