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Proceedings Paper

Automatic moving target detecting by a novel video segmentation algorithm
Author(s): Haitao Jia; Mei Xie
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Paper Abstract

This paper proposes a novel algorithm for automatically and quickly extracting the external edge of the moving object. The algorithm uses both spatial and temporal information, which is abundant in image sequences and has not usually been efficiently used in conventional algorithm. Especially most attention of this algorithm is paid for the moving object external-edges. This orientation is designed to deal with the overlap of moving objects in successive frames. After the temporal segmentation the external edge of moving object is detected. Differing from current algorithms the fusing way of the temporal and spatial information has been progressed. Here the algorithm only uses spatial information of the temporal external edge to refine the edge points for getting the accurate boundary. This method will greatly decrease the compute and achieve the fast process in the real-time system. Though the simulation, this algorithm can get perfect result.

Paper Details

Date Published: 19 May 2005
PDF: 8 pages
Proc. SPIE 5807, Automatic Target Recognition XV, (19 May 2005); doi: 10.1117/12.603117
Show Author Affiliations
Haitao Jia, Univ. of Electronic Science and Technology of China (China)
Mei Xie, Univ. of Electronic Science and Technology of China (China)


Published in SPIE Proceedings Vol. 5807:
Automatic Target Recognition XV
Firooz A. Sadjadi, Editor(s)

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