A Prototype Application for Long-time Behavior Modeling and Abnormal Events Detection

Nicoletta Noceti; Francesca Odone

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Paper

A Prototype Application for Long-time Behavior Modeling and Abnormal Events Detection

Topics: Event and Human Activity Recognition; Machine Learning Technologies for Vision; Video Surveillance and Event Detection

In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP, 597-604, 2016 , Rome, Italy

Authors: Nicoletta Noceti and Francesca Odone

Affiliation: Università degli Studi di Genova, Italy

Keyword(s): Behaviour Modelling, Abnormal Events Detection, Temporal Series Clustering.

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

Abstract: In this work we present a prototype application for modelling common behaviours from long-time observations of a scene. The core of the system is based on the method proposed in (Noceti and Odone, 2012), an adaptive technique for profiling patterns of activities on temporal data -- coupling a string-based representation and an unsupervised learning strategy -- and detecting anomalies --- i.e., dynamic events diverging with respect to the usual dynamics. We propose an engineered framework where the method is adopted to perform an online analysis over very long time intervals (weeks of activity). The behaviour models are updated to accommodate new patterns and cope with the physiological scene variations. We provide a thorough experimental assessment, to show the robustness of the application in capturing the evolution of the scene dynamics.

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Paper citation in several formats:

Noceti, N. and Odone, F. (2016). A Prototype Application for Long-time Behavior Modeling and Abnormal Events Detection. In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISAPP; ISBN 978-989-758-175-5; ISSN 2184-4321, SciTePress, pages 597-604. DOI: 10.5220/0005723105970604

@conference{visapp16,
author={Nicoletta Noceti. and Francesca Odone.},
title={A Prototype Application for Long-time Behavior Modeling and Abnormal Events Detection},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISAPP},
year={2016},
pages={597-604},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005723105970604},
isbn={978-989-758-175-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISAPP
TI - A Prototype Application for Long-time Behavior Modeling and Abnormal Events Detection
SN - 978-989-758-175-5
IS - 2184-4321
AU - Noceti, N.
AU - Odone, F.
PY - 2016
SP - 597
EP - 604
DO - 10.5220/0005723105970604
PB - SciTePress