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In this paper, we present a method that combines a sparse appearance model into the Bayesian inference framework for tracking pedestrians in video sequences captured by a fixed camera. We formulate sparse appearance model as a linear combination of a set of 4D smoothed colour histograms for each pedestrian. These colour histograms are computed for all detection windows with different confidence values...
This paper proposed a new object detection method based on codebook with super pixels (CBSP-OD), which overcomes large memory requirements, calculated quantity problems and code words created are not exact in dynamic scenes. The CBSP-OD algorithm converts pixels from RGB space to HSL space and cluster pixels into super pixels. In this way, we just use L component as light value to reduce computational...
A new approach to image segmentation is proposed, which is based on regions of interest and improved multi-phase C-V model. Different from the traditional C-V model, the improved multi-phase level set model include more information of the image, such as image intensity information, area, circumference, and the image gradient information. In addition, adding the edge indicator and penalty term to the...
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