On-Line Background Extraction in Video Image Using Vector Median


The KIPS Transactions:PartB , Vol. 13, No. 5, pp. 515-524, Oct. 2006
10.3745/KIPSTB.2006.13.5.515,   PDF Download:

Abstract

Background extraction is an important technique to find the moving objects in video surveillance system. This paper proposes a new on-line background extraction method for color video using vector order statistics. In the proposed method, using the fact that background occurs more frequently than objects, the vector median of color pixels in consecutive frames is treated as background at the position. Also, the objects of current frame are consisted of the set of pixels whose distance from background pixel is larger than threshold. In the paper, the proposed method is compared with the on-line multiple background extraction based on Gaussian mixture model(GMM) in order to evaluate the performance. As the result, its performance is similar or superior to the method based on GMM.


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Cite this article
[IEEE Style]
J. C. Kim, E. J. Park, J. W. Lee, "On-Line Background Extraction in Video Image Using Vector Median," The KIPS Transactions:PartB , vol. 13, no. 5, pp. 515-524, 2006. DOI: 10.3745/KIPSTB.2006.13.5.515.

[ACM Style]
Joon Choel Kim, Eun Jong Park, and Joon Whoan Lee. 2006. On-Line Background Extraction in Video Image Using Vector Median. The KIPS Transactions:PartB , 13, 5, (2006), 515-524. DOI: 10.3745/KIPSTB.2006.13.5.515.