A Comparison of Multicamera Person-Tracking Algorithms
نویسندگان
چکیده
In this paper, we present a comparison of four novel algorithms that have been applied to the tracking of people in an indoor scenario. Tracking is carried out in 3D or 2D (ground plane) to provide position information for a variety of surveillance, HCI or meeting-support services. The algorithms, based on background subtraction, face detection, particle filter feature-matching and edge alignment of a cylindrical model are described and comparative results presented using independent test data produced and ground-truthed for the EU CHIL project.
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تاریخ انتشار 2006