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Motion objects detection based onwavelet clustering

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2 Author(s)
Li Zeng ; Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing, China ; Wenjuan Wu

Motion objects detection is a process of segmenting the motion objects or regions from the rest of the sequent images. This paper presents an approach to motion objects detection by applying wavelet clustering with frame difference, which satisfies some requirements of rapid motion objects detection. By analyzing adjacent frame difference results and utilizing multi-resolution property of wavelet clustering analysis, we can identify arbitrary shape multiply motion objects. Experiment results show that good accuracy of proposed algorithm was obtained.

Published in:

Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on

Date of Conference:

8-11 Aug. 2009