MTracker: A Multi-View Approach to Segmenting and Tracking People in a Cluttered Scene

Published: 01 Jan 2003, Last Modified: 05 Mar 2025Int. J. Comput. Vis. 2003EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: When occlusion is minimal, a single camera is generally sufficient to detect and track objects. However, when the density of objects is high, the resulting occlusion and lack of visibility suggests the use of multiple cameras and collaboration between them so that an object is detected using information available from all the cameras in the scene.
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