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Multispectral object segmentation and retrieval in surveillance video

Ó Conaire, Ciarán and O'Connor, Noel E. and Cooke, Eddie and Smeaton, Alan F. (2006) Multispectral object segmentation and retrieval in surveillance video. In: ICIP 2006 - 13th International Conference on Image Processing, 8-11 October 2006, Atlanta, Georgia.

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This paper describes a system for object segmentation and feature extraction for surveillance video. Segmentation is performed by a dynamic vision system that fuses information from thermal infrared video with standard CCTV video in order to detect and track objects. Separate background modelling in each modality and dynamic mutual information based thresholding are used to provide initial foreground candidates for tracking. The belief in the validity of these candidates is ascertained using knowledge of foreground pixels and temporal linking of candidates. The transferable belief model is used to combine these sources of information and segment objects. Extracted objects are subsequently tracked using adaptive thermo-visual appearance models. In order to facilitate search and classification of objects in large archives, retrieval features from both modalities are extracted for tracked objects. Overall system performance is demonstrated in a simple retrieval scenario

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:Information retrieval; Infrared image sensors; Infrared surveillance; Tracking; Video signal processing;
Subjects:Computer Science > Digital video
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Publisher:Institute of Electrical and Electronics Engineers
Official URL:
Copyright Information:Copyright © 2006 IEEE. Reprinted from ICIP 2006 - 13th International Conference on Image Processing. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Dublin City University's products or services. Internal or 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 must be obtained from the IEEE by writing to By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
Funders:Science Foundation Ireland, SFI 03/IN.3/I361, Irish Research Council for Science Engineering and Technology
ID Code:223
Deposited On:05 Mar 2008 by DORAS Administrator. Last Modified 05 May 2010 13:09

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