Crowd Event Detection in Surveillance Video - An Approach based on Optical Flow High-frequency Feature Analysis

Ana Paula G. S. de Almeida, Vitor de Azevedo Faria, Flavio de Barros Vidal

2015

Abstract

Many real-world actions occur often in crowded and dynamic environments. Video surveillance application uses crowd analysis for automatic detection of anomalies and alarms. In this position paper we propose a crowd event detection technique based on optical flow high-frequency feature analysis to build a robust and stable descriptor. The proposed system is designed to be used in surveillance videos to automatic violence acts detection. Preliminary results show that the proposed methodology is able to perform the detection process with success and allows the development of an efficient recognition stage in further works.

Paper Citation

in Harvard Style

G. S. de Almeida A., de Azevedo Faria V. and de Barros Vidal F. (2015). Crowd Event Detection in Surveillance Video - An Approach based on Optical Flow High-frequency Feature Analysis . In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-091-8, pages 629-634. DOI: 10.5220/0005355306290634

in Bibtex Style

@conference{visapp15,
author={Ana Paula G. S. de Almeida and Vitor de Azevedo Faria and Flavio de Barros Vidal},
title={Crowd Event Detection in Surveillance Video - An Approach based on Optical Flow High-frequency Feature Analysis},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={629-634},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005355306290634},
isbn={978-989-758-091-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)
TI - Crowd Event Detection in Surveillance Video - An Approach based on Optical Flow High-frequency Feature Analysis
SN - 978-989-758-091-8
AU - G. S. de Almeida A.
AU - de Azevedo Faria V.
AU - de Barros Vidal F.
PY - 2015
SP - 629
EP - 634
DO - 10.5220/0005355306290634