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Dynamic texture reconstruction from sparse codes for unusual event detection in crowded scenes

Xu, Jingxin, Denman, Simon, Sridharan, Sridha, Fookes, Clinton B., & Rana, Rajib (2011) Dynamic texture reconstruction from sparse codes for unusual event detection in crowded scenes. In Joint ACM Workshop on Modeling and Representing Events (J-MRE'11), 28 November - 1 December 2011, Hyatt Regency Scottsdale Resort and Spa, Scottsdale, Arizona. (In Press)

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Abstract

Unusual event detection in crowded scenes remains challenging because of the diversity of events and noise. In this paper, we present a novel approach for unusual event detection via sparse reconstruction of dynamic textures over an overcomplete basis set, with the dynamic texture described by local binary patterns from three orthogonal planes (LBPTOP). The overcomplete basis set is learnt from the training data where only the normal items observed. In the detection process, given a new observation, we compute the sparse coefficients using the Dantzig Selector algorithm which was proposed in the literature of compressed sensing. Then the reconstruction errors are computed, based on which we detect the abnormal items. Our application can be used to detect both local and global abnormal events. We evaluate our algorithm on UCSD Abnormality Datasets for local anomaly detection, which is shown to outperform current state-of-the-art approaches, and we also get promising results for rapid escape detection using the PETS2009 dataset.

Impact and interest:

4 citations in Scopus
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ID Code: 45986
Item Type: Conference Paper
Keywords: Sparse Coding, Anomaly Detection, Dynamic Texture, Dantzig Selector, Compressed sensing
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)
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 ACM
Copyright Statement: Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee.
Deposited On: 15 Sep 2011 22:22
Last Modified: 17 Sep 2011 14:21

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