Matting and super-pixel based target tracking algorithm

Hailuo Wang, Bo Wang, Zhiqiang Zhou, Sun Li

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

Model updating is a critical problem in target tracking. Inaccurate foreground and background estimating will degrade the tracking performance even cause drift problem. In order to address this problem, a robust tracking algorithm based on super-pixels and Matting is proposed. We use feature matching and color-histogram of super-pixels to offer enough foreground and background information for Matting. In addition, we sample the patches of object to record the appearance information which can deal with the situation of occlusion. Compared with other tracking methods, experiments show that our algorithm can overcome the problem of model drift and track the object with better accuracy.

源语言英语
主期刊名2015 7th International Conference on Advanced Computational Intelligence, ICACI 2015
出版商Institute of Electrical and Electronics Engineers Inc.
223-228
页数6
ISBN(电子版)9781479972579
DOI
出版状态已出版 - 10 8月 2015
活动7th International Conference on Advanced Computational Intelligence, ICACI 2015 - Wuyi, 中国
期限: 27 3月 201529 3月 2015

出版系列

姓名2015 7th International Conference on Advanced Computational Intelligence, ICACI 2015

会议

会议7th International Conference on Advanced Computational Intelligence, ICACI 2015
国家/地区中国
Wuyi
时期27/03/1529/03/15

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