@inproceedings{1b9ab089da4b4e48b4352c6d2b36414f,
title = "Occluded object tracking based on trajectory links in surveillance videos",
abstract = "Trajectories of foreground objects provide rich and continuous motion information for event analysis in surveillance videos. These trajectories can be obtained by tracking foreground objects frame by frame. When appearances of foreground objects significantly change during occlusions, tracking results may become incorrect. To solve the occlusion problem, we propose a real-time post processing method based on trajectory links. By analyzing trajectory links, our method can retrieve individual trajectories of occluded foreground objects. As shown in the experiments, our method can achieve better performance compared to previous tracking methods.",
author = "Huang, {Chun Rong} and Chiu, {Yi I.} and Chung, {Pau Choo} and Hung, {Yu Chiao}",
year = "2014",
doi = "10.1109/ISCAS.2014.6865134",
language = "English",
isbn = "9781479934324",
series = "Proceedings - IEEE International Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "337--340",
booktitle = "2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014",
address = "United States",
note = "2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014 ; Conference date: 01-06-2014 Through 05-06-2014",
}