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• W2364489364 abstract "Most of the present pedestrian detecting algorithms can not deal with multi-view objects and can not perform in real time.Faced with these problems,this paper provided a real-time multi-view pedestrian detecting algorithm,which utilizes respectively the color and the contour features to construct two detectors.One is a color based detector,which,first,segments the original images based on skin color of face and hair color,and then locates the candidate head regions by using integral images,and the other is the contour detector,which employs the robust head-shoulder contour feature to construct a deformable template based on two ellipses with size and position constraints.Two template matching algorithms with different computing complexity were introduced to detect head-shoulder objects.Finally,a cascaded detecting system was generated by the two detectors mentioned above.The whole system can process images with 352×288 resolution at a speed of 30fps by using the cascaded structure.The algorithm proved to be effective." @default.
• W2364489364 created "2016-06-24" @default.
• W2364489364 creator A5066756187 @default.
• W2364489364 date "2006-01-01" @default.
• W2364489364 modified "2023-09-26" @default.
• W2364489364 title "Color and Deformable Templates Based Real-time Pedestrian Detection" @default.
• W2364489364 hasPublicationYear "2006" @default.
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