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Crowd density estimation is important in crowd analysis and texture analysis is an efficient method to estimate crowd density, this paper proposes an improved estimation approach based on texture analysis. First, background is removed by using a combination of optical flow and background subtract method. Then according to texture analysis, a set of new feature is extracted from foreground image. Finally,...
This paper presents the study of vocal videostroboscopic videos to detect morphological pathologies using a combination of motion information and segmentation. The motion permits us to obtain the keyframes of total (or minimum) closure and maximum opening and to have the initialization for the segmentation process. The segmentation is made analyzing the image textures applying Gabor filtering. After...
We present a privacy-preserving system for estimating the size of inhomogeneous crowds, composed of pedestrians that travel in different directions, without using explicit object segmentation or tracking. First, the crowd is segmented into components of homogeneous motion, using the mixture of dynamic textures motion model. Second, a set of simple holistic features is extracted from each segmented...
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