The Target Motion Detection Algorithm Based on Gauss Mixture Model


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Background reduction technique not only has the characteristics of pixels identify changes and small time complexity, but also can provide better detection results. The paper puts forward the running average method constructing background image by Gaussian mixture mode detecting background region and foreground region, and then adopting background reduction realizes the detection of moving target. Experimental results show that the algorithm effectively may realize background extraction and updating, and then completely and accurately detects moving targets. The algorithm has been achieved good results in the video vehicle detection.



Advanced Materials Research (Volumes 468-471)

Edited by:

Wenzhe Chen, Pinqiang Dai, Yonglu Chen, Dingning Chen and Zhengyi Jiang




Q. C. Bai et al., "The Target Motion Detection Algorithm Based on Gauss Mixture Model", Advanced Materials Research, Vols. 468-471, pp. 1421-1425, 2012

Online since:

February 2012




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