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Proceedings Paper

Event detection for car park entries by video-surveillance
Author(s): Didier Coquin; Johan Tailland; Michel Cintract
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Paper 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.

Paper Details

Date Published: 8 October 2007
PDF: 8 pages
Proc. SPIE 6718, Optomechatronic Computer-Vision Systems II, 67180J (8 October 2007); doi: 10.1117/12.754567
Show Author Affiliations
Didier Coquin, LISTIC, Domaine Univ. (France)
Johan Tailland, EBOO Solutions (France)
Michel Cintract, EBOO Solutions (France)

Published in SPIE Proceedings Vol. 6718:
Optomechatronic Computer-Vision Systems II
Jonathan Kofman; Yuri Lopez de Meneses; Shun'ichi Kaneko; Claudio A. Perez; Didier Coquin, Editor(s)

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