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.
Type de document :
Communication dans un congrès
Workshop on Multi-camera and Multi-modal Sensor Fusion Algorithms and Applications - M2SFA2 2008, Oct 2008, Marseille, France. 2008
Liste complète des métadonnées

Littérature citée [15 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/inria-00326769
Contributeur : Peter Sturm <>
Soumis le : dimanche 5 octobre 2008 - 14:37:55
Dernière modification le : lundi 6 octobre 2008 - 09:25:44
Document(s) archivé(s) le : jeudi 3 juin 2010 - 22:20:55

Fichier

1569139950.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : inria-00326769, version 1

Collections

Citation

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, Oct 2008, Marseille, France. 2008. 〈inria-00326769〉

Partager

Métriques

Consultations de la notice

151

Téléchargements de fichiers

227