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The current vehicle tracking algorithms cannot meet the requirements of high robustness in engineering application. A co-training algorithm based on on-line boosting for vehicle tracking is proposed. In this algorithm, first the vehicle region of interest is detected by vehicle-shadow feature and vehicle horizontal edge feature. Then the vehicle region of interest is verified by off-line classifiers...
Image denoising has been being a hotspot in the discipline of image processing. In this paper, we first analyze the intra-scale distribution and inter-scale distribution characteristics of the coefficients at finer-scale of the noise image, and then propose an edge detection method for preserving important high frequency information through incorporating the coefficients correlation of intra-scale...
Recent years LiDAR data is widely used for constructing 3D terrain models which provide realistic impressions of the urban environment. This paper presents an automatic method for extracting 3D building model by the fusion of LiDAR data, 2D building outlines and orthoimage. 2D building outlines is generated by classifying the LiDAR data to terrain and off-terrain points, then detecting building edges...
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