A double layer background model to detect unusual events

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

doi:10.1007/978-3-540-74607-2_37

A double layer background model to detect unusual events

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Advanced Concepts for Intelligent Vision Systems - 9th International Conference, ACIVS 2007, Proceedings
Publisher	Springer Verlag
Pages	406-416
Number of pages	11
ISBN (Print)	9783540746065
DOIs	https://doi.org/10.1007/978-3-540-74607-2_37
State	Published - 2007
Externally published	Yes
Event	9th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2007 - Delft, Netherlands Duration: 28 Aug 2007 → 31 Aug 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4678 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2007
Country/Territory	Netherlands
City	Delft
Period	28/08/07 → 31/08/07

Access to Document

10.1007/978-3-540-74607-2_37

Cite this

Salas, J., Jimenez-Hernandez, H., Gonzalez-Barbosa, J. J., Hurtado-Ramos, J. B., & Canchola, S. (2007). A double layer background model to detect unusual events. In Advanced Concepts for Intelligent Vision Systems - 9th International Conference, ACIVS 2007, Proceedings (pp. 406-416). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4678 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-74607-2_37

Salas, Joaquin ; Jimenez-Hernandez, Hugo ; Gonzalez-Barbosa, Jose Joel et al. / A double layer background model to detect unusual events. Advanced Concepts for Intelligent Vision Systems - 9th International Conference, ACIVS 2007, Proceedings. Springer Verlag, 2007. pp. 406-416 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "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.",

author = "Joaquin Salas and Hugo Jimenez-Hernandez and Gonzalez-Barbosa, {Jose Joel} and Hurtado-Ramos, {Juan B.} and Sandra Canchola",

year = "2007",

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Salas, J, Jimenez-Hernandez, H, Gonzalez-Barbosa, JJ , Hurtado-Ramos, JB & Canchola, S 2007, A double layer background model to detect unusual events. in Advanced Concepts for Intelligent Vision Systems - 9th International Conference, ACIVS 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4678 LNCS, Springer Verlag, pp. 406-416, 9th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2007, Delft, Netherlands, 28/08/07. https://doi.org/10.1007/978-3-540-74607-2_37

A double layer background model to detect unusual events. / Salas, Joaquin; Jimenez-Hernandez, Hugo; Gonzalez-Barbosa, Jose Joel et al.
Advanced Concepts for Intelligent Vision Systems - 9th International Conference, ACIVS 2007, Proceedings. Springer Verlag, 2007. p. 406-416 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4678 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Salas J, Jimenez-Hernandez H, Gonzalez-Barbosa JJ , Hurtado-Ramos JB, Canchola S. A double layer background model to detect unusual events. In Advanced Concepts for Intelligent Vision Systems - 9th International Conference, ACIVS 2007, Proceedings. Springer Verlag. 2007. p. 406-416. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-74607-2_37

A double layer background model to detect unusual events

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