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Proceedings Paper

Identification of occlusion regions based on background rebuilding for automatic video object segmentation
Author(s): Hongqiang Bao; Zhaoyang Zhang
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Paper Abstract

In video sequences, object movement causes regions occlusion (to-be-covered or uncovered), which seriously decreases the accuracy of object segmentation. This paper presents a novel video object segmentation algorithm that can identify the occlusion regions. The background rebuilding technique is used to construct a reliable background image from the accumulated frame difference information. THe intial moving object segmentation is finished by the difference between the background image and the current frame, and the occlusion regions are detected. Then, the initial result is spatially segmented into homogeneous regions, and a method based on region labeling distinguishes between moving object and background regions. Experimental results for several MPEG-4 test sequences demonstrate the effectiveness of the proposed approach.

Paper Details

Date Published: 25 September 2003
PDF: 4 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.539913
Show Author Affiliations
Hongqiang Bao, Shanghai Univ. (China)
Zhaoyang Zhang, Shanghai Univ. (China)


Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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