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Proceedings Paper

A new method for target detection based on analysis of motion vector field in dynamic video scene
Author(s): Wenzhe Zhao; Shiyin Qin
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Paper Abstract

In this paper we propose a new method for target detection based on an analysis of the motion vector field in a dynamic video scene. Our method, which integrates motion vector field analysis and image segmentation, can be used to treat with videos acquired by mobile cameras. It can even be used to detect multiple targets in a scene simultaneously with no advance learning. Using some video materials from a YUV video sequence from Arizona State University, we successfully determined the boundaries of the moving targets by the proposed method. The algorithms detected the targets and enabled us to obtain very satisfactory results.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74951C (30 October 2009); doi: 10.1117/12.832570
Show Author Affiliations
Wenzhe Zhao, Beihang Univ. (China)
Shiyin Qin, Beihang Univ. (China)

Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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