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Textures of optical flow for real-time anomaly detection in crowds

Ryan, David, Denman, Simon, Fookes, Clinton B., & Sridharan, Sridha (2011) Textures of optical flow for real-time anomaly detection in crowds. In Piciarelli, Claudio (Ed.) Proceedings of the 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS 2011), IEEE, Klagenfurt University, Klagenfurt, Austria, pp. 1-6. (In Press)

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Abstract

Automated visual surveillance of crowds is a rapidly growing area of research. In this paper we focus on motion representation for the purpose of abnormality detection in crowded scenes. We propose a novel visual representation called textures of optical flow. The proposed representation measures the uniformity of a flow field in order to detect anomalous objects such as bicycles, vehicles and skateboarders; and can be combined with spatial information to detect other forms of abnormality. We demonstrate that the proposed approach outperforms state-of-the-art anomaly detection algorithms on a large, publicly-available dataset.

Impact and interest:

9 citations in Scopus
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ID Code: 41572
Item Type: Conference Paper
Keywords: Surveillance of Crowds, Motion Representation, Abnormality Detection, Crowded Scenes
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Information Security Institute
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2011 IEEE & The Authors
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 05 May 2011 08:02
Last Modified: 07 Sep 2011 17:30

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