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Authors: Oscar Deniz 1 ; Ismael Serrano 1 ; Gloria Bueno 1 and Tae-Kyun Kim 2

Affiliations: 1 University of Castilla-La Mancha, Spain ; 2 Imperial College London, United Kingdom

Keyword(s): Action Recognition, Violence Detection, Fight Detection.

Abstract: Whereas the action recognition problem has become a hot topic within computer vision, the detection of fights or in general aggressive behavior has been comparatively less studied. Such capability may be extremely useful in some video surveillance scenarios like in prisons, psychiatric centers or even in camera phones. Recent work has considered the well-known Bag-of-Words framework often used in generic action recognition for the specific problem of fight detection. Under this framework, spatio-temporal features are extracted from the video sequences and used for classification. Despite encouraging results in which near 90% accuracy rates were achieved, the computational cost of extracting such features is prohibitive for practical applications, particularly in surveillance and media rating systems. The task of violence detection may have, however, specific features that can be leveraged. Inspired by results that suggest that kinematic features alone are discriminant for specific ac tions, this work proposes a novel method which uses extreme acceleration patterns as the main feature. These extreme accelerations are efficiently estimated by applying the Radon transform to the power spectrum of consecutive frames. Experiments show that accuracy improvements of up to 12% are achieved with respect to state-of-the-art action recognition methods. Most importantly, the proposed method is at least 15 times faster. (More)

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Paper citation in several formats:
Deniz, O.; Serrano, I.; Bueno, G. and Kim, T. (2014). Fast Violence Detection in Video. In Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 1: VISAPP; ISBN 978-989-758-004-8; ISSN 2184-4321, SciTePress, pages 478-485. DOI: 10.5220/0004695104780485

@conference{visapp14,
author={Oscar Deniz. and Ismael Serrano. and Gloria Bueno. and Tae{-}Kyun Kim.},
title={Fast Violence Detection in Video},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 1: VISAPP},
year={2014},
pages={478-485},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004695104780485},
isbn={978-989-758-004-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 1: VISAPP
TI - Fast Violence Detection in Video
SN - 978-989-758-004-8
IS - 2184-4321
AU - Deniz, O.
AU - Serrano, I.
AU - Bueno, G.
AU - Kim, T.
PY - 2014
SP - 478
EP - 485
DO - 10.5220/0004695104780485
PB - SciTePress