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Proceedings Paper

Automatic video object segmentation for MPEG-4
Author(s): Wei Wei; King Ngi Ngan
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Paper Abstract

This paper presents a novel method to automatically extract moving objects using motion and color information. Based on pattern recognition and object tracking principles, the proposed method can handle sequences both with moving and stationary backgrounds. It derives for each physical object a two-dimensional binary model, with the model points corresponding to the edges that were detected by the Canny Operator. The resulting binary models combined with the temporal and spatial information will then guide the extraction of the actual VOPs from the video sequence. The performance of the segmentation technique is illustrated by simulations carried out on standard video sequences.

Paper Details

Date Published: 23 June 2003
PDF: 11 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.502796
Show Author Affiliations
Wei Wei, Nanyang Technological Univ. (Singapore)
King Ngi Ngan, Nanyang Technological Univ. (Singapore)
Univ. of Western Australia (Australia)

Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)

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