inria-00276936, version 1
Video Understanding for Complex Activity Recognition
Florent Fusier a, 1Valery Valentin 1François Bremond
1, 2Monique Thonnat 1Mark Borg 3David Thirde 3James Ferryman 3
Machine Vision and Applications, 18 (2007) 167-188
Résumé : This paper presents a real-time video understanding system which automatically recognises activities occuring in environments observed through video surveillance cameras. Our approach consists in three main stages : Scene Tracking, Coherence Maintenance, and Scene Understanding. The main challenges are to provide a robust tracking process to be able to recognise events in outdoor and in real applications conditions, to allow the monitoring of a large scene through a camera network, and to automatically recognise complex events involving several actors interacting with each others. This approach has been validated for Airport Activity Monitoring in the framework of the European project AVITRACK.
- a – pulsar
- 1 : PULSAR (INRIA Sophia Antipolis)
- INRIA
- 2 : ORION (INRIA Sophia Antipolis)
- INRIA
- 3 : University of Reading (UOR)
- University of Reading
- Domaine : Informatique/Traitement des images
- Mots-clés : Video Surveillance – Video Understanding – Scene Tracking – Activity Recognition – Airport Activity Monitoring
- inria-00276936, version 1
- http://hal.inria.fr/inria-00276936
- oai:hal.inria.fr:inria-00276936
- Contributeur : Francois Bremond
- Soumis le : Vendredi 2 Mai 2008, 21:17:43
- Dernière modification le : Vendredi 2 Mai 2008, 21:38:05






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