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Skeleton extraction is essential for general shape representation. A typical skeletonization algorithm should obtain the ability to preserve original object’s topological and hierarchical properties. However, most of current methods are high memory cost, computationally intensive, and also require complex data structures. In this paper, we propose(More)
This paper addresses the problem of human detection in still images. We first describe a novel descriptor concatenating the local normalized histogram of oriented gradients (HOG) and the global normalized histogram of census transform (CT) of images for human detection. The detector is trained by using cascade learning method based on AdaBoost. In addition,(More)
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