Paper
8 October 2007 Event detection for car park entries by video-surveillance
Didier Coquin, Johan Tailland, Michel Cintract
Author Affiliations +
Proceedings Volume 6718, Optomechatronic Computer-Vision Systems II; 67180J (2007) https://doi.org/10.1117/12.754567
Event: International Symposium on Optomechatronic Technologies, 2007, Lausanne, Switzerland
Abstract
Intelligent surveillance has become an important research issue due to the high cost and low efficiency of human supervisors, and machine intelligence is required to provide a solution for automated event detection. In this paper we describe a real-time system that has been used for detecting car park entries, using an adaptive background learning algorithm and two indicators representing activity and identity to overcome the difficulty of tracking objects.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Didier Coquin, Johan Tailland, and Michel Cintract "Event detection for car park entries by video-surveillance", Proc. SPIE 6718, Optomechatronic Computer-Vision Systems II, 67180J (8 October 2007); https://doi.org/10.1117/12.754567
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KEYWORDS
Cameras

Video surveillance

Motion detection

Detection and tracking algorithms

3D modeling

Video

Visual process modeling

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