@inproceedings{c629931fe8b84d27a92553f69374f30a,
title = "A new template update scheme for visual tracking",
abstract = "Single object tracking can be focused on two phases under the particle filter framework: one is sparse representation, which can be regarded as a matching evaluation; the other is template update, which can be regarded as the appearance changes of the target. Template update is the most direct and basic phase to ensure a high quality tracking. However, most template update schemes can not capture the latest appearance of the target, thereby leading to a low quality tracking. In this paper, we propose a new template update scheme, which can obtain the latest trends of the target. The experimental results on popular benchmark video sequences show that the proposed template update scheme is feasible and effective.",
keywords = "template update, visual tracking",
author = "Xiaohuan Lu and Shuangyan Yi and Zhenyu He and Hongpeng Wang and Chen, \{Wen Sheng\}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 7th International Conference on Cloud Computing and Big Data, CCBD 2016 ; Conference date: 16-11-2016 Through 18-11-2016",
year = "2017",
month = jul,
day = "13",
doi = "10.1109/CCBD.2016.055",
language = "英语",
series = "Proceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "243--247",
booktitle = "Proceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016",
address = "美国",
}