OATAO - Open Archive Toulouse Archive Ouverte Open Access Week

Intégration de la saillance visuelle dans la reconnaissance d’évènements rares

Atrevi, Dieudonné Fabrice and Vivet, Damien and Emile, Bruno Intégration de la saillance visuelle dans la reconnaissance d’évènements rares. (2017) In: GRETSI 2017, 5 September 2017 - 8 September 2017 (Juan-les-pins, France).

[img]
Preview
(Document in French)

PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
1MB

Abstract

This paper presents a new method for the detection of rares events in video. It is based on the visual saliency and on the detection and local description of points of interest. The point-of-interest filtering is carried out using the saliency score, allowing only those with visual importance to be considered. A model of normal events is learned thanks to the probabilistic generative model "Latent Dirichlet Allocation" (LDA), known for its performance in textual data mining. The detection of an abnormal or rare event is carried out in a probabilistic way via the learned model. This paper proposes to combine a saliency based visual focalization and the use of automatic document classification technic in order to classify images from a video and to detect rare events.

Item Type:Conference or Workshop Item (Poster)
HAL Id:hal-01739783
Audience (conference):National conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
Other partners > Ecole Nationale Supérieure d'Ingénieurs de Bourges - ENSI Bourges (FRANCE)
Other partners > Université d'Orléans (FRANCE)
Laboratory name:
Statistics:download
Deposited By: Damien Vivet
Deposited On:21 Mar 2018 12:15

Repository Staff Only: item control page