Event detection for car park entries by video-surveillance
Didier Coquin, Johan Tailland, Michel Cintract · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2007
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.