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Efficient video object segmentation using adaptive background registration and edge-based change detection techniques

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3 Author(s)
Jiashu Zhang ; Sichuan Province Key Lab of Signal & Inf. Process., Southwest Jiaotong Univ., Chengdu, China ; L. Zhang ; Heng-Ming Tai

The paper presents an automatic and efficient video object segmentation algorithm. Moving object extraction is carried out by adaptive background model and edge-based change detection techniques. The background is updated by use of pixel history and a moving object mask. Connected component analysis and morphological filtering are employed to obtain an accurate VOP (video object plane). Finally, a novel object tracking window scheme is applied to improve the processing speed. Experimental results for three different types of MPEG-4 video sequences are shown to demonstrate the effectiveness of the proposed algorithm

Published in:

Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on  (Volume:2 )

Date of Conference:

30-30 June 2004