Detecting Critical Situation in Public Transport

R. M. Luque, F. L. Valverde, E. Dominguez, E. J. Palomo, J. Muñoz

Abstract

This paper presents a system information applied to video surveillance to detect and identify aggressive behaviors of people in public transport. A competitive neural network is proposed to form a background model for detecting objects in motion in the sequence. After identifying the objects and extracting its features a set of rules are applied to decide if an anomalous behavior is or not considered aggressive. Our approach is integrated in a CCTV system and is a powerful support tool for security operators to manage to detect in real time critical situations in public transport.

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Paper Citation


in Harvard Style

M. Luque R., L. Valverde F., Dominguez E., J. Palomo E. and Muñoz J. (2008). Detecting Critical Situation in Public Transport . In Proceedings of the 8th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2008) ISBN 978-989-8111-42-5, pages 57-66. DOI: 10.5220/0001739600570066


in Bibtex Style

@conference{pris08,
author={R. M. Luque and F. L. Valverde and E. Dominguez and E. J. Palomo and J. Muñoz},
title={Detecting Critical Situation in Public Transport},
booktitle={Proceedings of the 8th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2008)},
year={2008},
pages={57-66},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001739600570066},
isbn={978-989-8111-42-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2008)
TI - Detecting Critical Situation in Public Transport
SN - 978-989-8111-42-5
AU - M. Luque R.
AU - L. Valverde F.
AU - Dominguez E.
AU - J. Palomo E.
AU - Muñoz J.
PY - 2008
SP - 57
EP - 66
DO - 10.5220/0001739600570066