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Events detection using a video-surveillance ...
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Document type :
Communication dans un congrès avec actes
DOI :
10.1007/978-3-319-16181-5_21
Title :
Events detection using a video-surveillance Ontology and a rule-based approach
Author(s) :
Kazi Tani, Mohammed Yassine [Auteur]
University of Oran Es-Senia [Oran] | Université d'Oran Es-Senia [Oran]
Lablack, Adel [Auteur]
FOX MIIRE [LIFL]
Ghomari, Abdelghani [Auteur]
University of Oran Es-Senia [Oran] | Université d'Oran Es-Senia [Oran]
Bilasco, Ioan-Marius [Auteur] refId
Université de Lille, Sciences et Technologies
FOX MIIRE [LIFL]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Conference title :
ECCV 2014 : Workshops on Computer Vision
City :
Zurich
Country :
Suisse
Start date of the conference :
2014-09-06
Publication date :
2014-09-06
English keyword(s) :
Ontology
Video surveillance
blobs
rules
HAL domain(s) :
Informatique [cs]/Multimédia [cs.MM]
English abstract : [en]
In this paper, we propose the use of a Video-surveillance Ontology and a rule-based approach to detect an event. The scene is described using the concepts presented in the ontology. Then, the blobs are extracted from the ...
Show more >
In this paper, we propose the use of a Video-surveillance Ontology and a rule-based approach to detect an event. The scene is described using the concepts presented in the ontology. Then, the blobs are extracted from the video stream and are represented using the bounding boxes that enclose them. Finally, a set of rules have been proposed and have been applied to videos selected from PETS 2012 challenge that contain multiple objects events (e.g. Group walking, Group splitting, etc.).Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Source :
Harvested from HAL
Université de Lille

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