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An improved spatiogram similarity measure for robust object localisation

Ó Conaire, Ciarán and O'Connor, Noel E. and Smeaton, Alan F. (2007) An improved spatiogram similarity measure for robust object localisation. In: ICASSP 2007 - IEEE International Conference on Acoustics, Speech, and Signal Processing, 15-20 March 2007, Honolulu, Hawaii.

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Spatiograms were introduced as a generalisation of the commonly used histogram, providing the flexibility of adding spatial context information to the feature distribution information of a histogram. The originally proposed spatiogram comparison measure has significant disadvantages that we detail here. We propose an improved measure based on deriving the Bhattacharyya coefficient for an infinite number of spatial-feature bins. Its advantages over the previous measure and over histogram-based matching are demonstrated in object tracking scenarios.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:Bhattacharyya coefficient; histogram-based matching' object tracking; robust object localisation; spatial context; information; spatial-feature bins; spatiogram similarity; measure
Subjects:Computer Science > Image processing
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 © 2007 IEEE. Reprinted from ICASSP 2007 - IEEE International Conference on Acoustics, Speech, and Signal 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:221
Deposited On:05 Mar 2008 by DORAS Administrator. Last Modified 05 May 2010 12:28

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