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This paper presents an algorithm for the reconstruction of frame-compatible 3D videos. Disparity-compensation based framework is investigated for the up-conversion of complementarily, horizontally or vertically decimated frame-compatible formats to their original 2D full resolution. Two issues, namely spatial resolution of disparity maps and intensity/color differences of stereo image, that affect...
This paper presents an algorithm for the reconstruction of frame-compatible 3D videos. Disparity-compensation based framework is investigated for the up-conversion of complementarily, horizontally or vertically decimated frame-compatible formats to their original 2D full resolution. Two issues, namely spatial resolution of disparity maps and intensity/color differences of stereo image, that affect...
Crowd density estimation is important in crowd analysis, this paper proposes a new approach used for crowd density estimation. First, background is removed by using a combination of optical flow and background subtract methods. Then according to texture analysis, a set of new feature is extracted from foreground image. Finally, a self-organizing map neural network is used for classifying different...
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,...
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