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Image haze removal has become an important researching direction in computer vision because of the development of computer vision system and its increasing demand. Images acquired in bad weather, such as haze and fog, are seriously degraded by the scatting of the atmosphere, which makes the image color gray, reduces the contrast and make the object features difficult to identify. The bad weather not...
Identifying moving objects in a video sequence is a fundamental and critical task in video surveillance, traffic monitoring, and gesture recognition in human-machine interface. In this paper, we present a novel recursive Kernel Density Estimation based background modeling method. First, local maximum in the density functions is recursively approximated using a mean shift method. Second, components...
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...
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