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Proceedings Paper

Segmentation of moving object in complex environment
Author(s): Yang Yong; Jingru Wang; Qiheng Zhang
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Paper Abstract

This paper presents a new automatic image segmentation method for segmenting moving object in complex environment by combining the motion information with edge information. We propose an adaptive optical flow method based on the Horn-Schunck algorithm to estimate the optical flow field. Our method puts different smoothness constraints on different directions and optical flow constraint is used according to the gradient magnitude. Canny edge detector can obtain the most edge information but miss some pixels. In order to restore these missing pixels the edge has a growing based on the continuity of optical flow field. Next, by remaining the block that has the longest edge could delete the noise in the background, and then the last segmentation result is obtained. The experimental result demonstrates that this method can segment the moving object in complex environment precisely.

Paper Details

Date Published: 8 February 2005
PDF: 8 pages
Proc. SPIE 5637, Electronic Imaging and Multimedia Technology IV, (8 February 2005); doi: 10.1117/12.570150
Show Author Affiliations
Yang Yong, Institute of Optics and Electronics, CAS (China)
Graduate School of the Chinese Academy of Sciences (China)
Jingru Wang, Institute of Optics and Electronics, CAS (China)
Qiheng Zhang, Institute of Optics and Electronics, CAS (China)


Published in SPIE Proceedings Vol. 5637:
Electronic Imaging and Multimedia Technology IV
Chung-Sheng Li; Minerva M. Yeung, Editor(s)

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