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《Journal of Guilin University of Technology》 2014-01
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Moving cast shadow elimination algorithm in Gaussian mixture model

GAN Xiao-yong;SUN Xu;Computer Center,Luzhou Medical College;College of Computer Science,Sichuan University;  
In order to provide great elimination of moving objects shadow in light conditions,RGB shadow model is proposed using Gaussian mixture shadow elimination algorithm,based on Gaussian mixture model( GMM) identifying prospects. In RGB color space,the shadow model of pixel error is estimated by GMM parameters previously and a RGB shadow model is established. This shadow model is a matching condition for modeling Gaussian mixture shadow model. Therefore,current pixel is determined whether it is shaded or not ultimately. Experimental results demonstrate that the proposed algorithm achieves satisfactory results for shadow removal in different scenarios,with real-time requirements of conventional video sequence.
【Fund】: 国家高技术研究发展计划项目(2013AA013802)
【CateGory Index】: TP391.41
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