INTELLIGENT SURVEILLANCE FOR TRAJECTORY ANALYSIS - Detecting Anomalous Situations in Monitored Environments

J. Albusac, J. J. Castro-Schez, L. Jimenez-Linares, D. Vallejo, L. M. Lopez-Lopez

Abstract

Recently, there is a growing interest in the development and deployment of intelligent surveillance systems capable of finding out and analyzing simple and complex events that take place on scenes monitored by cameras. Within this context, the use of expert knowledge may offer a realistic solution when dealing with the design of a surveillance system. In this paper, we briefly describe the architecture of an intelligent surveillance system based on normality components and expert knowledge. These components specify how a certain object must ideally behave according to one concept. A specific normality component which analyzes the trajectories followed by objects is studied in depth in order to analyze behaviors in an outdoor environment. The analysis of trajectories in the surveillance context is an interesting issue because any moving object has always a goal in an environment, and it usually goes towards one destination to achieve it.

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Paper Citation


in Harvard Style

Albusac J., Castro-Schez J., Jimenez-Linares L., Vallejo D. and Lopez-Lopez L. (2009). INTELLIGENT SURVEILLANCE FOR TRAJECTORY ANALYSIS - Detecting Anomalous Situations in Monitored Environments . In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8111-85-2, pages 103-108. DOI: 10.5220/0001953901030108


in Bibtex Style

@conference{iceis09,
author={J. Albusac and J. J. Castro-Schez and L. Jimenez-Linares and D. Vallejo and L. M. Lopez-Lopez},
title={INTELLIGENT SURVEILLANCE FOR TRAJECTORY ANALYSIS - Detecting Anomalous Situations in Monitored Environments},
booktitle={Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2009},
pages={103-108},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001953901030108},
isbn={978-989-8111-85-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - INTELLIGENT SURVEILLANCE FOR TRAJECTORY ANALYSIS - Detecting Anomalous Situations in Monitored Environments
SN - 978-989-8111-85-2
AU - Albusac J.
AU - Castro-Schez J.
AU - Jimenez-Linares L.
AU - Vallejo D.
AU - Lopez-Lopez L.
PY - 2009
SP - 103
EP - 108
DO - 10.5220/0001953901030108