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Multiple Camera Person Tracking in Multiple Layers Combining 2D and 3D Information

Abstract : CCTV systems have been introduced in most public spaces in order to increase security. Video outputs are observed by human operators if possible but mostly used as a forensic tool. Therefore it seems desirable to automate video surveillance systems, in order to be able to detect potentially dangerous situations as soon as possible. Multi camera systems have seem to be the prerequisite for huge spaces where frequently occlusions appear. In this treatise we will present a system which robustly detects and tracks objects in a multi camera environment and performs a subsequent behavioral analysis based on luggage related events.
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Submitted on : Sunday, October 5, 2008 - 2:37:55 PM
Last modification on : Thursday, January 6, 2022 - 11:38:04 AM
Long-term archiving on: : Thursday, June 3, 2010 - 10:20:55 PM


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  • HAL Id : inria-00326769, version 1



Dejan Arsié, Björn Schuller, Gerhard Rigoll. Multiple Camera Person Tracking in Multiple Layers Combining 2D and 3D Information. Workshop on Multi-camera and Multi-modal Sensor Fusion Algorithms and Applications - M2SFA2 2008, Andrea Cavallaro and Hamid Aghajan, Oct 2008, Marseille, France. ⟨inria-00326769⟩



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