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Authors: Sofia Zaidenberg ; Piotr Bilinski and François Brémond

Affiliation: Inria, France

ISBN: 978-989-758-004-8

Keyword(s): Event Detection, Motion Estimation, Anomaly Estimation, Situation Awareness, Scene Understanding, Group Activity Recognition, Stream Selection.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Camera Networks and Vision ; Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Video Surveillance and Event Detection

Abstract: This paper presents a novel and unsupervised approach for discovering “sudden” movements in video surveillance videos. The proposed approach automatically detects quick motions in a video, corresponding to any action. A set of possible actions is not required and the proposed method successfully detects potentially alarm-raising actions without training or camera calibration. Moreover, the system uses a group detection and event recognition framework to relate detected sudden movements and groups of people, and provide a semantical interpretation of the scene. We have tested our approach on a dataset of nearly 8 hours of videos recorded from two cameras in the Parisian subway for a European Project. For evaluation, we annotated 1 hour of sequences containing 50 sudden movements.

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Paper citation in several formats:
Zaidenberg, S.; Bilinski, P. and Brémond, F. (2014). Towards Unsupervised Sudden Group Movement Discovery for Video Surveillance.In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-004-8, pages 388-395. DOI: 10.5220/0004682403880395

@conference{visapp14,
author={Sofia Zaidenberg. and Piotr Bilinski. and Fran\c{C}ois Brémond.},
title={Towards Unsupervised Sudden Group Movement Discovery for Video Surveillance},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={388-395},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004682403880395},
isbn={978-989-758-004-8},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)
TI - Towards Unsupervised Sudden Group Movement Discovery for Video Surveillance
SN - 978-989-758-004-8
AU - Zaidenberg, S.
AU - Bilinski, P.
AU - Brémond, F.
PY - 2014
SP - 388
EP - 395
DO - 10.5220/0004682403880395

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