@inproceedings{60eb2ef98d0c4a90b3d323112ac3c457,
title = "Motion-Based Feature Selection and Adaptive Template Update Strategy for Robust Visual Tracking",
abstract = "The Kanade-Lucas-Tomasi(KLT) method is a classictracking algorithm, which however suffers from a longexisting gradual template drift problem. In this paper, wepresent an improved tracking algorithm which can sustain thetracking performance for a long term against drift. In thisapproach, we formulate the tracking over a state comprisingof a template with kinematic motion. Based on the sparsemotion field generated by KLT, a motion consistency basedmethod is applied to filer out the outliers which are the causeof cumulative drift errors. To sustain the tracking performancein a long term, an adaptive template update strategy monitoredby the appearance and motion continuities of the template isproposed. Finally, quantitative testing on several benchmarksequences demonstrate the advances of the proposed methodin long term tracking.",
keywords = "Object tracking, Template drift, Template update",
author = "Baofeng Wang and Zhiquan Qi and Sizhong Chen",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 3rd International Conference on Information Science and Control Engineering, ICISCE 2016 ; Conference date: 08-07-2016 Through 10-07-2016",
year = "2016",
month = oct,
day = "31",
doi = "10.1109/ICISCE.2016.106",
language = "English",
series = "Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "462--467",
editor = "Shaozi Li and Yun Cheng and Ying Dai",
booktitle = "Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016",
address = "United States",
}