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	Dynamic video segmentation via a novel recursive kernel density estimation
	Zhu, Q.; Guanzheng Liu; Xie, Y.
	2011
会议名称	6th International Conference on Image and Graphics, ICIG 2011
会议地点	Hefei, Anhui, China
英文摘要	Modeling background and segmenting moving objects are significant techniques for video segmentation and other video processing applications. Many different methods about background modeling and video extraction have been proposed over the recent years. In this paper, we present a novel recursive Kernel Density Estimation based video segmentation method. In the algorithm, local maximum in the density functions is approximated recursively via a mean shift method firstly. Via a proposed thresholding scheme, components and parameters in the mixture Gaussian distributions can be selected adaptively, and finally converge to a relative stable background distribution mode. In the segmentation, foreground is firstly separated by simple background subtraction method. and then, the Bayes classifier is introduced to eliminate the misclassifications points to improve the segmentation quality. Experiments on four typical video clips are used to compare with some previous methods.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/3530]
专题	深圳先进技术研究院_医工所
作者单位	2011
推荐引用方式 GB/T 7714	Zhu, Q.,Guanzheng Liu,Xie, Y.. Dynamic video segmentation via a novel recursive kernel density estimation[C]. 见:6th International Conference on Image and Graphics, ICIG 2011. Hefei, Anhui, China.

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