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Proceedings Paper

Camshift object tracking method with unscented Kalman filtering motion estimation
Author(s): Da-ke Chen
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Paper Abstract

In order to implement real-time tracking of motion object in complex scene of image sequence, a novel tracking method based on Unscented Kalman filtering motion estimation with Camshift theory was introduced. Above all, the motion state of selected object in present frame was estimated with Unscented Kalman filtering, and then the possible position of selected object in next frame was predicted. Finally, the tracked object center was search in adjacent area of the possible position and the object was oriented with histogram color matching principia of Camshift method. Experiment results show that the proposal algorithm can not only effectively solve object sheltered problem induced by sudden motion, but also the tracking performance owing to pose movement is improved. It is very useful for machine controller to provide more precise coordinate error indication.

Paper Details

Date Published: 15 October 2012
PDF: 6 pages
Proc. SPIE 8419, 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Sensing, Imaging, and Solar Energy, 84191K (15 October 2012); doi: 10.1117/12.970491
Show Author Affiliations
Da-ke Chen, Beijing Institute of Space Mechanics and Electricity (China)


Published in SPIE Proceedings Vol. 8419:
6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Sensing, Imaging, and Solar Energy
Yadong Jiang; Junsheng Yu; Zhifeng Wang, Editor(s)

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