AdaBoost pedestrian detection algorithm based on multi-feature, presents a fusion of grayscale and contour information of the new multi-feature comprehensive representation of this method through the right to establish a statistical sample of heavy histogram classification model, and the product of said plurality of samples in a histogram multi-joint probability distribution corresponding characteristics

基于多特征的AdaBoost行人检测算法_黄如锦.pdf

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