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Proceedings Paper

The motion detection of video using active surface and particle swarm optimization
Author(s): Ruiping Xu; Huifang Li; Qiong Wen
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Paper Abstract

The segmentation of an image sequence into moving objects and estimation of object motion belong to one of the most important tasks in image sequence analysis. In this paper, the new motion detection methods of video based on active surface and particle swarm optimization is presented. Firstly, each frame of image sequence is separated into 2-D regions of motion activity by differentiating one frame from the other they produce, and motion detection problem is simplified into an interactive estimation of segmentation surface. Then image sequence analysis jointly over multiple frames is proposed with the improved motion model and parameter with particle swarm optimization. Finally, The effectiveness of proposal method is proved with simulation experiment. The results show that our proposal detected the boundary with enough accuracy.

Paper Details

Date Published: 1 October 2011
PDF: 6 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82852I (1 October 2011);
Show Author Affiliations
Ruiping Xu, Northwestern Polytechnical Univ. (China)
Huifang Li, Northwestern Polytechnical Univ. (China)
Qiong Wen, Northwestern Polytechnical Univ. (China)

Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)
Yi Xie; Yanjun Zheng, Editor(s)

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