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PhD Forum: Investigating the performance of a multi-modal approach to unusual event detection

Kuklyte, Jogile, Kelly, Philip and O'Connor, Noel E. orcid logoORCID: 0000-0002-4033-9135 (2011) PhD Forum: Investigating the performance of a multi-modal approach to unusual event detection. In: ACM/IEEE International Conference on Distributed Smart Cameras, 22-25 Aug 2011, Ghent, Belgium. ISBN 978-1-4577-1706-2

In this paper, we investigate the parameters under- pinning our previously presented system for detecting unusual events in surveillance applications [1]. The system identifies anomalous events using an unsupervised data-driven approach. During a training period, typical activities within a surveilled environment are modeled using multi-modal sensor readings. Significant deviations from the established model of regular activity can then be flagged as anomalous at run-time. Using this approach, the system can be deployed and automatically adapt for use in any environment without any manual adjustment. Experiments carried out on two days of audio-visual data were performed and evaluated using a manually annotated ground- truth. We investigate sensor fusion and quantitatively evaluate the performance gains over single modality models. We also investigate different formulations of our cluster-based model of usual scenes as well as the impact of dynamic thresholding on identifying anomalous events. Experimental results are promis- ing, even when modeling is performed using very simple audio and visual features.
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Subjects:Computer Science > Image processing
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Institutes and Centres > CLARITY: The Centre for Sensor Web Technologies
Published in: Distributed Smart Cameras (ICDSC), 2011 Fifth ACM/IEEE International Conference on. . IEEE. ISBN 978-1-4577-1706-2
Official URL:http://dx.doi.org/10.1109/ICDSC.2011.6042954
Copyright Information:© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:16791
Deposited On:20 Jan 2012 10:44 by Philip Kelly . Last Modified 22 Oct 2018 15:32

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