A double layer background model to detect unusual events

Joaquin Salas, Hugo Jimenez-Hernandez, Jose Joel Gonzalez-Barbosa, Juan B. Hurtado-Ramos, Sandra Canchola

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

A double layer background representation to detect novelty in image sequences is shown. The model is capable of handling non-stationary scenarios, such as vehicle intersections. In the first layer, an adaptive pixel appearance background model is computed. Its subtraction with respect to the current image results in a blob description of moving objects. In the second layer, motion direction analysis is performed by a Mixture of Gaussians on the blobs. We have used both layers for representing the usual space of activities and for detecting unusual activity. Our experiments clearly showed that the proposed scheme is able to detect activities such as vehicles running on red light or making forbidden turns.

Idioma originalInglés
Título de la publicación alojadaAdvanced Concepts for Intelligent Vision Systems - 9th International Conference, ACIVS 2007, Proceedings
EditorialSpringer Verlag
Páginas406-416
Número de páginas11
ISBN (versión impresa)9783540746065
DOI
EstadoPublicada - 2007
Publicado de forma externa
Evento9th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2007 - Delft, Países Bajos
Duración: 28 ago. 200731 ago. 2007

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen4678 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia9th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2007
País/TerritorioPaíses Bajos
CiudadDelft
Período28/08/0731/08/07

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