文件名称:Pedestrian Detection and Tracking for Counting Applications
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This paper describes a vision based pedestrian detection and tracking system which is able to count people in very crowded situations like escalator entrances in underground stations. The proposed system uses motion to compute regions of interest and prediction of movements, extracts shape information from the video frames to detect individuals, and applies texture features to recognize people. A search strategy creates trajectories and new pedestrian hypotheses and then filters and combines those into accurate counting events. We show that counting accuracies up to 98 % can be achieved.
相关搜索: 拥挤状态 行人检测
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压缩包 : 2006-pedestrian-detection.zip 列表 2006-pedestrian-detection.pdf
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