Covariance based local salient descriptors for visual tracking

Hongwei Hu, Bo Ma, Qiaofeng Ma, Wei Liang

科研成果: 书/报告/会议事项章节会议稿件同行评审

3 引用 (Scopus)

摘要

When visual tracking is performed by human, we typically pay attention to some salient regions or points of the target instead of the whole target. Inspired by this visual saliency property of human visual system, the paper proposes a novel salient regions extraction method to model target appearance. In order to capture the salient and spatial information within this model, the method extracts a set of local salient descriptors based on covariance features from the target. Afterwards, an optimization problem is constructed with respect to the features of these salient regions, and the optimal target state is obtained by solving this problem using a gradient descent algorithm. Experiments on several challenging video sequences demonstrate the good performance of the proposed method compared with four state-of-art tracking methods.

源语言英语
主期刊名2013 IEEE International Conference on Multimedia and Expo, ICME 2013
DOI
出版状态已出版 - 2013
活动2013 IEEE International Conference on Multimedia and Expo, ICME 2013 - San Jose, CA, 美国
期限: 15 7月 201319 7月 2013

出版系列

姓名Proceedings - IEEE International Conference on Multimedia and Expo
ISSN(印刷版)1945-7871
ISSN(电子版)1945-788X

会议

会议2013 IEEE International Conference on Multimedia and Expo, ICME 2013
国家/地区美国
San Jose, CA
时期15/07/1319/07/13

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