Object tracking by multi-degrees of freedom mean shift procedure combined with the Kalman particle filter algorithm

Jing Ping Jia, Qing Wang, Yan Mei Chai, Rong Chun Zhao

科研成果: 书/报告/会议事项章节会议稿件同行评审

7 引用 (Scopus)

摘要

The paper begins with an analysis of the shortcomings of existing methods. We aim to overcome these shortcomings with our improved mean shift algorithm in which we introduce two distinguishing features: the bandwidth matrix and the target angle. We first introduce the bandwidth matrix mean shift procedure. Then we describe the target by introducing the target rectangle, which provides two positions coordinates of the centre point, the horizontal axis, the vertical axis and the target angle, altogether five degrees of freedom. Target angle is used to accommodate the rotation of objects while the two axes determine the size in two independent directions. Furthermore, we incorporate the Kalman Particle Filter (KPF) into our tracking framework to cope with a temporal occlusion of the objects. Experiments with several real worlds' sequences indicate our new method's capability to adapt to any combinations of the target's rotation, zooming and translation. With better description of the object it achieves much better precision.

源语言英语
主期刊名Proceedings of the 2006 International Conference on Machine Learning and Cybernetics
3793-3797
页数5
DOI
出版状态已出版 - 2006
活动2006 International Conference on Machine Learning and Cybernetics - Dalian, 中国
期限: 13 8月 200616 8月 2006

出版系列

姓名Proceedings of the 2006 International Conference on Machine Learning and Cybernetics
2006

会议

会议2006 International Conference on Machine Learning and Cybernetics
国家/地区中国
Dalian
时期13/08/0616/08/06

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