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Drift-correcting template update strategy for precision feature point tracking
Peng, Xiaoming1,2; Bennamoun, Mohammed2; Ma, Qian3; Lei, Ying1; Zhang, Qiheng3; Chen, Wufan1
Source PublicationIMAGE AND VISION COMPUTING
Volume28Issue:8Pages:1280-1292
2010-08-01
Language英语
Indexed BySCI
WOS IDWOS:000279182400010
SubtypeArticle
AbstractIn this paper we present a drift-correcting template update strategy for precisely tracking a feature point in 2D image sequences. The proposed strategy greatly complements one of the latest published template update strategies by incorporating a robust non-rigid image registration step. Previous strategies use the first template to correct drifts in the current template; however, the drift still builds up when the first template becomes different from the current one particularly in a long image sequence. In our strategy the first template is updated timely when it is revealed to be quite different from the current template and henceforth the updated first template is used to correct template drifts in subsequent frames. Our method runs fast on a 3.0 GHz desktop PC, using about 0.03 s on average to track a feature point in a frame (under the assumption of a general affine transformation model, 61 x 61 pixels in template size) and less than 0.1 s to update the first template. The proposed template update strategy can be implemented either serially or in parallel. Quantitative evaluation results show the proposed method in precision tracking of a distinctive feature point whose appearance is constantly changing. Qualitative evaluation results show that the proposed method has a more sustained ability to track a feature point than two previous template update strategies. We also revealed the limitations of the proposed template update strategy by tracking feature points on a human's face. (C) 2010 Elsevier B.V. All rights reserved.
KeywordFeature Point Tracking Template Matching Template Update Strategy
WOS KeywordIMAGE SEQUENCES ; DETECTORS ; REGISTRATION ; SCALE
WOS Research AreaComputer Science ; Engineering ; Optics
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Optics
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/3327
Collection光电技术研究所被WoS收录文章
Affiliation1.Univ Elect Sci & Technol China, Coll Automat, Chengdu 610054, Sichuan, Peoples R China
2.Univ Western Australia, Sch Comp Sci & Software Engn, Crawley, WA 6009, Australia
3.Chinese Acad Sci, Inst Opt & Elect, Lab 5, Chengdu 610209, Sichuan, Peoples R China
Recommended Citation
GB/T 7714
Peng, Xiaoming,Bennamoun, Mohammed,Ma, Qian,et al. Drift-correcting template update strategy for precision feature point tracking[J]. IMAGE AND VISION COMPUTING,2010,28(8):1280-1292.
APA Peng, Xiaoming,Bennamoun, Mohammed,Ma, Qian,Lei, Ying,Zhang, Qiheng,&Chen, Wufan.(2010).Drift-correcting template update strategy for precision feature point tracking.IMAGE AND VISION COMPUTING,28(8),1280-1292.
MLA Peng, Xiaoming,et al."Drift-correcting template update strategy for precision feature point tracking".IMAGE AND VISION COMPUTING 28.8(2010):1280-1292.
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