Tracking of objects in image sequences using multi-freeness Mean Shift algorithm

Jing Ping Jia, Yan Ning Zhang, Rong Chun Zhao, Ze Tao Jiang

科研成果: 书/报告/会议事项章节会议稿件同行评审

5 引用 (Scopus)

摘要

Current Mean Shift tracking algorithm uses a single radius parameter to describe the scale of the target. Each target has the position and size freeness only. This is not suitable for complex movements of the objects. In this paper we provide a new algorithm in which a bandwidth matrix is employed to describe the objects with two directions determined independently. Target-angle is also introduced to accommodate the rotation of objects. Furthermore we bring forward an efficient search strategy to cope with a temporal occlusion of the objects. Experimental results show that the new algorithm is able to adapt to any kind of object's movements and therefore has better tracking precision.

源语言英语
主期刊名2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005
5133-5138
页数6
出版状态已出版 - 2005
活动International Conference on Machine Learning and Cybernetics, ICMLC 2005 - Guangzhou, 中国
期限: 18 8月 200521 8月 2005

出版系列

姓名2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005

会议

会议International Conference on Machine Learning and Cybernetics, ICMLC 2005
国家/地区中国
Guangzhou
时期18/08/0521/08/05

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