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Proceedings Paper

Automatic segmentation of video object plane based on object tracking and matching
Author(s): Li Shi; Zhaoyang Zhang; Hui Wang
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Paper Abstract

This paper presents a new approach to the extraction of video object and segmentation of video object plane from video sequence. The method is based on morphological motion filter using connected operator and our proposed new filtering criterion. The morphological motion filter aims to detect motion which is distinct from that of the background, and thereby locates independently moving physical objects in the scenes. Then an object tracker is used which matches a two-dimension binary model of the object against subsequent frames using the Hausdorff distance. The best match found indicates the translation the object has undergone . Then the object matcher using active contour model is presented to match the object in the new location. From a series of binary contour we can extract the moving object. Experiments show that our algorithm can extract object from moving backgrounds efficiently.

Paper Details

Date Published: 21 September 2001
PDF: 6 pages
Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); doi: 10.1117/12.441468
Show Author Affiliations
Li Shi, Shanghai Univ. (China)
Zhaoyang Zhang, Shanghai Univ. (China)
Hui Wang, Shanghai Univ. (China)

Published in SPIE Proceedings Vol. 4550:
Image Extraction, Segmentation, and Recognition
Tianxu Zhang; Bir Bhanu; Ning Shu, Editor(s)

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