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Highly non-rigid video object tracking using segment-based object candidates
Lin, Cong; Pun, Chi-Man; Huang, Guoheng
2016-05-06
Source PublicationMULTIMEDIA TOOLS AND APPLICATIONS
ISSN1380-7501
Volume76Issue:7Pages:9565-9586
Abstract

A novel scheme for non-rigid video object tracking using segment-based object candidates is proposed in this paper. Rather than using a conventional bounding box, the tracker is based on segments and considers the target object to be a combination of segments, where the hierarchical hue-saturation-value histogram is extracted as a feature. The objectness method is employed and integrated into the tracker to generate candidates for a similarity measure. Moreover, segment-based motion weights are introduced to give higher weights to candidates with motion consistency. A confidence-collecting scheme is proposed for similar candidates. To validate our method, experiments were conducted using several image sequences with different non-rigid challenges. The experimental results show that the proposed scheme can achieve better performance than other state-of-the-art methods.

KeywordHighly Non-rigid Object Tracking Segment-based Objectness Motion Weights Appearance Model
DOI10.1007/s11042-016-3563-3
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000399016300021
PublisherSPRINGER
The Source to ArticleWOS
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被引频次[WOS]:3   [WOS记录]     [WOS相关记录]
Document TypeJournal article
专题DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorPun, Chi-Man
AffiliationDepartment of Computer and Information Science, University of Macau, Macau SAR, China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
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Lin, Cong,Pun, Chi-Man,Huang, Guoheng. Highly non-rigid video object tracking using segment-based object candidates[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2016,76(7):9565-9586.
APA Lin, Cong,Pun, Chi-Man,&Huang, Guoheng.(2016).Highly non-rigid video object tracking using segment-based object candidates.MULTIMEDIA TOOLS AND APPLICATIONS,76(7),9565-9586.
MLA Lin, Cong,et al."Highly non-rigid video object tracking using segment-based object candidates".MULTIMEDIA TOOLS AND APPLICATIONS 76.7(2016):9565-9586.
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