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An enhanced particle swarm optimization with distribution fields appearance model for object tracking
Quanyi Hu; Peng Qin; Jie Yang; Simon Fong
2020-10-24
Source PublicationInternational Journal of Wavelets, Multiresolution and Information Processing
ISSN0219-6913
Volume19Issue:1
Abstract

This paper presents an improved Particle Swarm Optimization tracker, representing target with Distribution Fields (DFs) to solve problems of how to effectively represent the appearance model and adapt to the change of environment. First, Categorized Particle Swarm Optimization (CPSO) makes good use of identifying selected object model by integrating based on the performance of categorized particles and it achieves an efficient algorithm in object tracking. Then, compared with the traditional target representation such as color, gradient, filter responses, etc. DFs build image descriptors that are able to make object smoothing and keep pixel values. To provide a better tracking result in different videos, this paper finds a more efficient way by using an appearance model which adopts the DFs layer with CPSO to build tracking procedure. The experiments show higher performances than another four state-of-the-art approaches on several sequences videos.

KeywordObject Tracking Distribution Fields Particle Swarm Optimization
DOI10.1142/S0219691320500654
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaComputer Science ; Mathematics
WOS SubjectComputer Science, Software Engineering ; Mathematics, Interdisciplinary Applications
WOS IDWOS:000621650700012
PublisherWORLD SCIENTIFIC PUBL CO PTE LTD, 5 TOH TUCK LINK, SINGAPORE 596224, SINGAPORE
Scopus ID2-s2.0-85095413011
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Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorQuanyi Hu; Simon Fong
AffiliationDepartment of Computer and Information Science, Faculty of Science and Technology, University of Macau,Macao
First Author AffilicationFaculty of Science and Technology
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Quanyi Hu,Peng Qin,Jie Yang,et al. An enhanced particle swarm optimization with distribution fields appearance model for object tracking[J]. International Journal of Wavelets, Multiresolution and Information Processing,2020,19(1).
APA Quanyi Hu,Peng Qin,Jie Yang,&Simon Fong.(2020).An enhanced particle swarm optimization with distribution fields appearance model for object tracking.International Journal of Wavelets, Multiresolution and Information Processing,19(1).
MLA Quanyi Hu,et al."An enhanced particle swarm optimization with distribution fields appearance model for object tracking".International Journal of Wavelets, Multiresolution and Information Processing 19.1(2020).
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