Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/91375
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Type: Journal article
Title: Histogram probabilistic multi-hypothesis tracker with colour attributes
Author: Davey, S.
Vu, H.
Arulampalam, M.
Fletcher, F.
Lim, C.
Citation: IET Radar, Sonar & Navigation, 2015; 9(8):999-1008
Publisher: IET
Issue Date: 2015
ISSN: 1751-8784
1751-8792
Statement of
Responsibility: 
Samuel J. Davey, Han X. Vu, Sanjeev Arulampalam, Fiona Fletcher, Cheng-Chew Lim
Abstract: The histogram probabilistic multi-hypothesis tracking (H-PMHT) algorithm is a multi-target track-before-detect method that has been demonstrated to be scalable and efficient and shows good performance on video imagery. However, its application has been limited to intensity-only imagery. In practice, colour and information, such as texture, are often available and can be very helpful when targets are close together. This study compares two alternative methods that incorporate colour information in the H-PMHT: an existing method referred to as spectral H-PMHT and a new approach that treats the colour information as attribute data. The methods are compared with intensity-only H-PMHT on simulations and benchmark data from the VS-PETS03 archive.
Rights: © Commonwealth Crown Copyright 2014
RMID: 0030029359
DOI: 10.1049/iet-rsn.2014.0406
Published version: http://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2014.0406
Appears in Collections:Electrical and Electronic Engineering publications

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