University of Oulu

J. Xiao and M. Oussalah, "On the use of contextual information for robust colour-based particle filter tracking," 2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA), Xi'an, 2018, pp. 1-6, https://doi.org/10.1109/IPTA.2018.8608147

On the use of contextual information for robust colour-based particle filter tracking

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Author: Xiao, Jingjing1; Oussalah, Mourad2
Organizations: 1University of Birmingham, School of Engineering, EECE, Birmingham, UK
2University of Oulu, Centre for Ubiquitous Computing, Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 3.8 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2020042322180
Language: English
Published: Institute of Electrical and Electronics Engineers, 2018
Publish Date: 2020-04-23
Description:

Abstract

Color-based particle filters have emerged as an appealing method for targets tracking. As the target may undergo rapid and significant appearance changes, the template (i.e. scale of the target, color distribution histogram) also needs to be updated. Traditional updates without learning contextual information may imply a high risk of distorting the model and losing the target. In this paper, a new algorithm utilizing the environmental information to update both the scale of the tracker and the reference appearance model for the purpose of object tracking in video sequences has been put forward. The proposal makes use of the well-established color-based particle filter tracking while differentiating the foreground and background particles according to their matching score. A roaming phenomenon that yields the estimation to shrink and diverge is investigated. The proposed solution is tested using publicly available benchmark datasets where a comparison with six state-of-the-art trackers has been carried out. The results demonstrate the feasibility of the proposal and lie down foundations for further research of complex tracking problems.

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Series: Proceedings. International Workshops on Image Processing Theory, Tools, and Applications
ISSN: 2154-5111
ISSN-E: 2154-512X
ISSN-L: 2154-5111
ISBN: 978-1-5386-6428-5
ISBN Print: 978-1-5386-6429-2
Pages: 241 - 246
DOI: 10.1109/IPTA.2018.8608147
OADOI: https://oadoi.org/10.1109/IPTA.2018.8608147
Host publication: 2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA)
Conference: International Conference on Image Processing Theory Tools and Applications
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: The first author would like to thank Dr. Rustam Stolkin in School of Mechanical Engineering, University of Birmingham for his discussions with regards to template update stage.
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