N-ARY TREES CLASSIFIER

Duarte Duque, Henrique Santos, Paulo Cortez

2006

Abstract

This paper addresses the problem of automatic detection and prediction of abnormal human behaviours in public spaces. For this propose a novel classifier, called N-ary trees, is presented. The classifier processes time series of attributes like the object position, velocity, perimeter and area, to infer the type of action performed. This innovative classifier can detect three types of events: normal; unusual; or abnormal events. In order to evaluate the performance of the N-ary trees classifier, we carry out a preliminary study with 180 synthetic tracks and one restricted area. The results revealed a great level of accuracy and that the proposed method can be used in surveillance systems.

Paper Citation

in Harvard Style

Duque D., Santos H. and Cortez P. (2006). N-ARY TREES CLASSIFIER . In Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-972-8865-60-3, pages 457-460. DOI: 10.5220/0001200904570460

in Bibtex Style

@conference{icinco06,
author={Duarte Duque and Henrique Santos and Paulo Cortez},
title={N-ARY TREES CLASSIFIER},
booktitle={Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2006},
pages={457-460},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001200904570460},
isbn={978-972-8865-60-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - N-ARY TREES CLASSIFIER
SN - 978-972-8865-60-3
AU - Duque D.
AU - Santos H.
AU - Cortez P.
PY - 2006
SP - 457
EP - 460
DO - 10.5220/0001200904570460