Drift-correcting template update strategy for precision feature point tracking
文献类型：期刊论文
| 作者 | Peng, Xiaoming1,2; Bennamoun, Mohammed2; Ma, Qian3; Lei, Ying1; Zhang, Qiheng3; Chen, Wufan1 |
| 刊名 | IMAGE AND VISION COMPUTING
 |
| 出版日期 | 2010-08-01 |
| 卷号 | 28期号:8页码:1280-1292 |
| 关键词 | Feature point tracking Template matching Template update strategy |
| 英文摘要 | In 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. |
| WOS标题词 | Science & Technology ; Technology ; Physical Sciences |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Optics |
| 研究领域[WOS] | Computer Science ; Engineering ; Optics |
| 关键词[WOS] | IMAGE SEQUENCES ; DETECTORS ; REGISTRATION ; SCALE |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000279182400010 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ioe.ac.cn/handle/181551/3327]  |
| 专题 | 光电技术研究所_光电技术研究所被WoS收录文章 |
| 作者单位 | 1.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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：光电技术研究所
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