@article{ART002247103},
author={Eun-Joon Kim},
title={Robust Visual Tracking using Search Area Estimation and Multi-channel Local Edge Pattern},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2017},
volume={22},
number={7},
pages={47-54},
doi={10.9708/jksci.2017.22.07.047}
TY - JOUR
AU - Eun-Joon Kim
TI - Robust Visual Tracking using Search Area Estimation and Multi-channel Local Edge Pattern
JO - Journal of The Korea Society of Computer and Information
PY - 2017
VL - 22
IS - 7
PB - The Korean Society Of Computer And Information
SP - 47
EP - 54
SN - 1598-849X
AB - Recently, correlation filter based trackers have shown excellent tracking performance and computational efficiency. In order to enhance tracking performance in the correlation filter based tracker, search area which is image patch for finding target must include target. In this paper, two methods to discriminatively represent target in the search area are proposed. Firstly, search area location is estimated using pyramidal Lucas-Kanade algorithm. By estimating search area location before filtering, fast motion target can be included in the search area. Secondly, we investigate multi-channel Local Edge Pattern(LEP) which is insensitive to illumination and noise variation.
Qualitative and quantitative experiments are performed with eight dataset, which includes ground truth. In comparison with method without search area estimation, our approach retain tracking for the fast motion target. Additionally, the proposed multi-channel LEP improves discriminative performance compare to existing features.
KW - Visual tracking;Correlation filter;Search area estimation;Local edge pattern
DO - 10.9708/jksci.2017.22.07.047
ER -
Eun-Joon Kim. (2017). Robust Visual Tracking using Search Area Estimation and Multi-channel Local Edge Pattern. Journal of The Korea Society of Computer and Information, 22(7), 47-54.
Eun-Joon Kim. 2017, "Robust Visual Tracking using Search Area Estimation and Multi-channel Local Edge Pattern", Journal of The Korea Society of Computer and Information, vol.22, no.7 pp.47-54. Available from: doi:10.9708/jksci.2017.22.07.047
Eun-Joon Kim "Robust Visual Tracking using Search Area Estimation and Multi-channel Local Edge Pattern" Journal of The Korea Society of Computer and Information 22.7 pp.47-54 (2017) : 47.
Eun-Joon Kim. Robust Visual Tracking using Search Area Estimation and Multi-channel Local Edge Pattern. 2017; 22(7), 47-54. Available from: doi:10.9708/jksci.2017.22.07.047
Eun-Joon Kim. "Robust Visual Tracking using Search Area Estimation and Multi-channel Local Edge Pattern" Journal of The Korea Society of Computer and Information 22, no.7 (2017) : 47-54.doi: 10.9708/jksci.2017.22.07.047
Eun-Joon Kim. Robust Visual Tracking using Search Area Estimation and Multi-channel Local Edge Pattern. Journal of The Korea Society of Computer and Information, 22(7), 47-54. doi: 10.9708/jksci.2017.22.07.047
Eun-Joon Kim. Robust Visual Tracking using Search Area Estimation and Multi-channel Local Edge Pattern. Journal of The Korea Society of Computer and Information. 2017; 22(7) 47-54. doi: 10.9708/jksci.2017.22.07.047
Eun-Joon Kim. Robust Visual Tracking using Search Area Estimation and Multi-channel Local Edge Pattern. 2017; 22(7), 47-54. Available from: doi:10.9708/jksci.2017.22.07.047
Eun-Joon Kim. "Robust Visual Tracking using Search Area Estimation and Multi-channel Local Edge Pattern" Journal of The Korea Society of Computer and Information 22, no.7 (2017) : 47-54.doi: 10.9708/jksci.2017.22.07.047
