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Exploiting contextual data for event retrieval in surveillance video

Kelly, Philip and Ó Conaire, Ciarán and O'Connor, Noel E. (2009) Exploiting contextual data for event retrieval in surveillance video. In: CIVR 2009 - ACM International Conference on Image and Video Retrieval, 8-10 July, 2009, Santorini, Greece. ISBN 978-1-60558-480-5

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Contextual information is vital for the robust extraction of semantic information in automated surveillance systems. We have developed a scene independent framework for the detection of events in which we provide 2D and 3D contextual data for the scene under surveillance via a novel fast and convenient interface tool. In addition, the proposed framework illustrates the use of integral images, not only for detection, as with the classic Viola-Jones object detector, but also for efficient tracking. Finally, we provide a quantitative assessment of the performance of the proposed system in a number of physical locations via groundtruthed datasets.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:surveillance; retrieval; event detection;
Subjects:Computer Science > Image processing
Computer Science > Information retrieval
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Publisher:Association for Computing Machinery
Official URL:
Copyright Information:Copyright © 2009 ACM
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland, SFI 07/CE/I1147
ID Code:4713
Deposited On:27 Jul 2009 16:20 by Philip Kelly. Last Modified 29 Apr 2010 13:54

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