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Authors: Ana Paula G. S. de Almeida ; Vitor de Azevedo Faria and Flavio de Barros Vidal

Affiliation: University of Brasilia, Brazil

Keyword(s): Crowd Event Detection, Optical Flow, High-frequency Feature.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Optical Flow and Motion Analyses ; Video Surveillance and Event Detection

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.

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Paper citation in several formats:
G. S. de Almeida, A. P., 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 (VISIGRAPP 2015) - Volume 1: VISAPP; ISBN 978-989-758-091-8; ISSN 2184-4321, SciTePress, pages 629-634. DOI: 10.5220/0005355306290634

@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 (VISIGRAPP 2015) - Volume 1: VISAPP},
year={2015},
pages={629-634},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005355306290634},
isbn={978-989-758-091-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 1: VISAPP
TI - Crowd Event Detection in Surveillance Video - An Approach based on Optical Flow High-frequency Feature Analysis
SN - 978-989-758-091-8
IS - 2184-4321
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
PB - SciTePress

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