Events detection using a video-surveillance ...
Type de document :
Communication dans un congrès avec actes
Titre :
Events detection using a video-surveillance Ontology and a rule-based approach
Auteur(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]
Université de Lille, Sciences et Technologies
FOX MIIRE [LIFL]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
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]

Université de Lille, Sciences et Technologies
FOX MIIRE [LIFL]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Titre de la manifestation scientifique :
ECCV 2014 : Workshops on Computer Vision
Ville :
Zurich
Pays :
Suisse
Date de début de la manifestation scientifique :
2014-09-06
Date de publication :
2014-09-06
Mot(s)-clé(s) en anglais :
Ontology
Video surveillance
blobs
rules
Video surveillance
blobs
rules
Discipline(s) HAL :
Informatique [cs]/Multimédia [cs.MM]
Résumé en anglais : [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 ...
Lire la suite >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.).Lire moins >
Lire la suite >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.).Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :
Fichiers
- 978-3-319-16181-5_21.pdf
- Accès libre
- Accéder au document