Crowd Motion Analysis from Video
نویسندگان
چکیده
In this paper we present a simplified tracking method to efficiently track people from a crowd video using the Minimum Mean Square Error (MMSE) technique. The system tracks people from a video sequence and is robust to varied lighting conditions and complex crowded scenes. The method effectively handles small occlusions and invokes a manual tracking procedure under severe occlusions. The system also computes other parameters like velocity, average number of people crossing the region, and maximum flow capacity.
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