Tracking Multiple People with Multiple Cameras
作者： Rawesak Tanawongsuwan , Irfan Essa , Scott Stillman
DOI:
关键词: Artificial intelligence 、 Computer science 、 Visual attention 、 Search engine indexing 、 Movement tracking 、 Segmentation 、 Consistency (database systems) 、 Computer vision 、 Tracking (particle physics)
摘要: In this paper we present a robust real-time method for tracking multiple people from cameras. Our uses both static and Pan-Tilt-Zoom (PTZ) The cameras are used to locate in the scene, while PTZ “lock-on” individuals provide visual attention. system provides consistency between works reliably well when occlude each other. underlying processes rely on color segmentation, movement shape information target candidates indexing methods register these with
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