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Objects like field lines and players are important for semantic analysis in soccer video. In this paper, we propose effective methods for field lines and players detection and recognition. Regions of field lines and players are first segmented from shot of wide angle view. Gray value top-hat transform is then performed on the segmented region to detect field lines. Mid-lines, end-lines and penalty-lines...
In this paper, we propose a computer aided recognition system. With a series of approaches of image pre-processing and segmentation, extract the whole image feature namely global features, such as the number of cell, also extract the single cell feature namely local features, for example cell area and so on. Then separately do the multi-feature fusion for global feature and local feature. We construct...
This paper presents a method for contour lines recognition from scanned military topographical maps. It is a difficult process, since contour lines are always overlapped or intersected with others information, and aliasing and false colors induced by the scanning process. The proposed method overcomes these difficulties using a multi-step process. First, a segmentation feature set is developed to...
In this paper we propose a robust system for window detection using popular descriptive statistics and image based methods, making use of 3D information from a laser scanner. The scanner generates 3D point clouds containing intensity and distance information in a spherical coordinate system, with optional additional RGB texture information. The applied descriptive statistical method exploits basic...
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