DI-UMONS : Dépôt institutionnel de l’université de Mons

Recherche transversale
(titres de publication, de périodique et noms de colloque inclus)
2008-10-22 - Colloque/Article dans les actes avec comité de lecture - Anglais - 4 page(s)

Mahmoudi Sidi , Haidar Sharif, Ihaddadene Nacim, Djeraba Chabane, "Abnormal Event Detection in Real Time Video" in First International Workshop on Multimodal Interactions Analysis of Users in a Controlled Environment, Island of Crete, Greece, 2008

  • Codes CREF : Techniques d'imagerie et traitement d'images (DI2770), Informatique appliquée logiciel (DI2570), Analyse de systèmes informatiques (DI2572)
  • Unités de recherche UMONS : Informatique (F114)
Texte intégral :

Abstract(s) :

(Anglais) This paper describes an approach to detect abnormal mo- tion in videos. The core of the approach detects portion of video that corresponds to sudden changes of motion vari- ations of a set of de¯ned points of interest. Optical °ow technique tracks those points of interest. There are su±- cient variations in the optical °ow patterns in a mob scene when there are cases those showing abnormalities. The geo- metric clustering algorithm, k-means, clusters the obtained optical °ow information to get the distance between two consecutive frames. In general, comparatively high distance indicates abnormal motion. To demonstrate the interest of the approach, we present the results based on the detection of abnormal motions in video, which consists of both normal and abnormal motions.