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An improved spatiogram similarity measure for robust object localisation
Ó Conaire, Ciarán; O'Connor, Noel E.; Smeaton, Alan F.
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.
Keyword(s): Image processing; Bhattacharyya coefficient; histogram-based matching' object tracking; robust object localisation; spatial context; information; spatial-feature bins; spatiogram similarity; measure
Publication Date:
2007
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Ó Conaire, Ciarán, O'Connor, Noel E. ORCID: 0000-0002-4033-9135 <https://orcid.org/0000-0002-4033-9135> and Smeaton, Alan F. ORCID: 0000-0003-1028-8389 <https://orcid.org/0000-0003-1028-8389> (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.
Publisher(s): Institute of Electrical and Electronics Engineers
File Format(s): application/pdf
Related Link(s): http://doras.dcu.ie/221/1/ieee_icassp_2007.pdf,
http://dx.doi.org/10.1109/ICASSP.2007.366096
First Indexed: 2009-11-05 02:00:25 Last Updated: 2019-02-09 07:04:55