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

Nicoletta Noceti, Francesca Odone

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 Harvard Style

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 - Volume 4: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 597-604. DOI: 10.5220/0005723105970604


in Bibtex Style

@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 - Volume 4: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={597-604},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005723105970604},
isbn={978-989-758-175-5},
}


in EndNote Style

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