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Journal of Electronic Imaging

Moving shadow detection with multifeature joint histogram
Author(s): Yanzhao Su; Aihua Li; Yanping Cai; Guoyan Feng; Guangzhi Jin
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Paper Abstract

This paper describes a method for moving shadow detection using the joint histogram of multifeatures. In our method, we first obtain the moving region by background subtraction. Then, based on the intensity feature, candidate shadow regions are extracted. Moreover, the joint histogram of intensity, color, and gradient features is constructed in candidate background and foreground regions. Furthermore, the joint histogram is backprojected to the foreground regions to yield the moving shadow likelihood image. In the end, the adaptive threshold is derived by the joint histogram of the foreground and background, and accurate shadow regions are extracted by segmenting the shadow likelihood image with this threshold. The main contribution of this paper is twofold. First, multifeatures are fused together by the joint histogram, which is a unified and simple description method for shadow detection. Second, the histogram of background and foreground was compared with backprojection. Moreover, the final result only depends on a few parameters. Unlike other approaches, our method does not make any assumption and moving shadow regions can be detected fast and accurately. Experimental results show that the proposed method is efficient and robust over a broad range of shadow types and challenging video conditions.

Paper Details

Date Published: 7 October 2014
PDF: 7 pages
J. Electron. Imaging. 23(5) 053015 doi: 10.1117/1.JEI.23.5.053015
Published in: Journal of Electronic Imaging Volume 23, Issue 5
Show Author Affiliations
Yanzhao Su, Xi’an Research Institute of High Technology (China)
Aihua Li, Xi’an Institute of High Technology (China)
Yanping Cai, Xi’an Research Institute of High Technology (China)
Guoyan Feng, Xi’an Research Institute of High Technology (China)
Guangzhi Jin, Xi’an Research Institute of High Technology (China)


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