Automatic acquisition of context models and its application to video surveillance

Oliver Brdiczka; Pong C. Yuen; Sofia Zaidenberg; Patrick Reignier; James L. Crowley

doi:10.1109/ICPR.2006.292

Automatic acquisition of context models and its application to video surveillance

Oliver Brdiczka^*
, Pong C. Yuen
, Sofia Zaidenberg
, Patrick Reignier
, James L. Crowley

^*Corresponding author for this work

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

23 Citations (Scopus)

Abstract

This paper addresses the problem of automatically acquiring context models from data. Context and human behavior are represented using a state model, called situation model. This model consists of different layers referring to entities, filters, roles, relations, situation and situation relationship. We propose a framework for the automatic acquisition of these different layers. In particular, this paper proposes a novel generic situation acquisition algorithm. The algorithm is also successfully applied to a video surveillance task and is evaluated by the public CAVIAR video database. The results are encouraging.

Original language	English
Title of host publication	Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006
Pages	1175-1178
Number of pages	4
DOIs	https://doi.org/10.1109/ICPR.2006.292
Publication status	Published - 2006
Event	18th International Conference on Pattern Recognition, ICPR 2006 - Hong Kong Convention and Exhibition Center, Hong Kong, China Duration: 20 Aug 2006 → 24 Aug 2006 https://www.comp.hkbu.edu.hk/~icpr06/index.php (Link to conference website) https://ieeexplore.ieee.org/xpl/conhome/11159/proceeding (Link to conference proceedings)

Publication series

Name	Proceedings - International Conference on Pattern Recognition
Volume	1
ISSN (Print)	1051-4651

Conference

Conference	18th International Conference on Pattern Recognition, ICPR 2006
Country/Territory	China
City	Hong Kong
Period	20/08/06 → 24/08/06
Internet address	https://www.comp.hkbu.edu.hk/~icpr06/index.php (Link to conference website) https://ieeexplore.ieee.org/xpl/conhome/11159/proceeding (Link to conference proceedings)

Access to Document

10.1109/ICPR.2006.292

Cite this

Brdiczka, O., Yuen, P. C., Zaidenberg, S., Reignier, P., & Crowley, J. L. (2006). Automatic acquisition of context models and its application to video surveillance. In Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006 (pp. 1175-1178). Article 1699099 (Proceedings - International Conference on Pattern Recognition; Vol. 1). https://doi.org/10.1109/ICPR.2006.292

@inproceedings{69b246da6fbd4449978d64815758f66c,

title = "Automatic acquisition of context models and its application to video surveillance",

abstract = "This paper addresses the problem of automatically acquiring context models from data. Context and human behavior are represented using a state model, called situation model. This model consists of different layers referring to entities, filters, roles, relations, situation and situation relationship. We propose a framework for the automatic acquisition of these different layers. In particular, this paper proposes a novel generic situation acquisition algorithm. The algorithm is also successfully applied to a video surveillance task and is evaluated by the public CAVIAR video database. The results are encouraging.",

author = "Oliver Brdiczka and Yuen, \{Pong C.\} and Sofia Zaidenberg and Patrick Reignier and Crowley, \{James L.\}",

year = "2006",

doi = "10.1109/ICPR.2006.292",

language = "English",

isbn = "0769525210",

series = "Proceedings - International Conference on Pattern Recognition",

pages = "1175--1178",

booktitle = "Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006",

url = "https://www.comp.hkbu.edu.hk/\textasciitilde{}icpr06/index.php, https://ieeexplore.ieee.org/xpl/conhome/11159/proceeding",

}

Brdiczka, O, Yuen, PC, Zaidenberg, S, Reignier, P & Crowley, JL 2006, Automatic acquisition of context models and its application to video surveillance. in Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006., 1699099, Proceedings - International Conference on Pattern Recognition, vol. 1, pp. 1175-1178, 18th International Conference on Pattern Recognition, ICPR 2006, Hong Kong, China, 20/08/06. https://doi.org/10.1109/ICPR.2006.292

Automatic acquisition of context models and its application to video surveillance. / Brdiczka, Oliver; Yuen, Pong C.; Zaidenberg, Sofia et al.
Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006. 2006. p. 1175-1178 1699099 (Proceedings - International Conference on Pattern Recognition; Vol. 1).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

TY - GEN

T1 - Automatic acquisition of context models and its application to video surveillance

AU - Brdiczka, Oliver

AU - Yuen, Pong C.

AU - Zaidenberg, Sofia

AU - Reignier, Patrick

AU - Crowley, James L.

PY - 2006

Y1 - 2006

N2 - This paper addresses the problem of automatically acquiring context models from data. Context and human behavior are represented using a state model, called situation model. This model consists of different layers referring to entities, filters, roles, relations, situation and situation relationship. We propose a framework for the automatic acquisition of these different layers. In particular, this paper proposes a novel generic situation acquisition algorithm. The algorithm is also successfully applied to a video surveillance task and is evaluated by the public CAVIAR video database. The results are encouraging.

AB - This paper addresses the problem of automatically acquiring context models from data. Context and human behavior are represented using a state model, called situation model. This model consists of different layers referring to entities, filters, roles, relations, situation and situation relationship. We propose a framework for the automatic acquisition of these different layers. In particular, this paper proposes a novel generic situation acquisition algorithm. The algorithm is also successfully applied to a video surveillance task and is evaluated by the public CAVIAR video database. The results are encouraging.

UR - https://www.scopus.com/pages/publications/34047231228

U2 - 10.1109/ICPR.2006.292

DO - 10.1109/ICPR.2006.292

M3 - Conference proceeding

AN - SCOPUS:34047231228

SN - 0769525210

SN - 9780769525211

T3 - Proceedings - International Conference on Pattern Recognition

SP - 1175

EP - 1178

BT - Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006

T2 - 18th International Conference on Pattern Recognition, ICPR 2006

Y2 - 20 August 2006 through 24 August 2006

ER -

Automatic acquisition of context models and its application to video surveillance

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this