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Proceedings Paper

Detecting moving objects under a moving camera in complex environments
Author(s): Genyuan Zhang; Qin Yu; Sisi Yang; Hong Zhou
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Paper Abstract

Robust detection of moving objects in image sequences is an essential part of many vision applications. However, it is not easily achievable with a moving camera since the camera and moving objects motions are mixed together. In this paper we propose a method to detect moving objects under a moving camera. The camera ego-motion is compensated by the corresponding feature sets. The difference image between two consecutive images that ego-motion is compensated is transformed into a binary image using k-means algorithm. According to the clustering results, the region of interest where moving objects are likely to exist is searched by the projection approach. Then local threshold and contour filling methods are applied to detect the accurate moving objects. Experimental results on real image sequences demonstrate that our method can get intact moving objects in the case of a moving camera efficiently.

Paper Details

Date Published: 4 March 2015
PDF: 8 pages
Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94430I (4 March 2015); doi: 10.1117/12.2179144
Show Author Affiliations
Genyuan Zhang, Wuhan Univ. of Techonology (China)
Zhejiang Univ. of Media and Communications (China)
Qin Yu, Zhejiang Univ. of Media and Communications (China)
Sisi Yang, Zhejiang Univ. (China)
Hong Zhou, Zhejiang Univ. (China)

Published in SPIE Proceedings Vol. 9443:
Sixth International Conference on Graphic and Image Processing (ICGIP 2014)
Yulin Wang; Xudong Jiang; David Zhang, Editor(s)

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