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Authors: Ákos Utasi and László Czúni

Affiliation: University of Pannonia, Hungary

Keyword(s): Anomaly detection, motion vector, Mixture of Gaussian Modelling (MOG), probability estimation.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Human-Computer Interaction ; Image and Video Analysis ; Methodologies and Methods ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems ; Software Engineering ; Tracking of People and Surveillance ; Video Analysis

Abstract: In our paper we deal with the problem of low-level motion modelling and unusual event detection in urban surveillance videos. We model the direction of optical flow vectors at image pixels. We implemented and tested probability based approaches such as probability estimation, Mixture of Gaussians modelling, and spatial averaging (with Mean-shift segmentation). We propose a Markovian prior to get reliable spatio-temporal support. We tested the techniques on synthetic and real video sequences.

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Paper citation in several formats:
Utasi, Á. and Czúni, L. (2008). ANOMALY DETECTION WITH LOW-LEVEL PROCESSES IN VIDEOS. In Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP; ISBN 978-989-8111-21-0; ISSN 2184-4321, SciTePress, pages 678-681. DOI: 10.5220/0001087806780681

@conference{visapp08,
author={Ákos Utasi. and László Czúni.},
title={ANOMALY DETECTION WITH LOW-LEVEL PROCESSES IN VIDEOS},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP},
year={2008},
pages={678-681},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001087806780681},
isbn={978-989-8111-21-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP
TI - ANOMALY DETECTION WITH LOW-LEVEL PROCESSES IN VIDEOS
SN - 978-989-8111-21-0
IS - 2184-4321
AU - Utasi, Á.
AU - Czúni, L.
PY - 2008
SP - 678
EP - 681
DO - 10.5220/0001087806780681
PB - SciTePress