A Robust Tracking System for Low Frame Rate Video
文献类型：期刊论文
| 作者 | Zhang, Xiaoqin1; Hu, Weiming2 ; Xie, Nianhua2; Bao, Hujun3; Maybank, Stephen4
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| 刊名 | INTERNATIONAL JOURNAL OF COMPUTER VISION
 |
| 出版日期 | 2015-12-01 |
| 卷号 | 115期号:3页码:279-304 |
| 关键词 | Low frame rate Tracking Dominant color Bin-ratio matching metric Particle swarm optimization |
| 英文摘要 | Tracking in low frame rate (LFR) videos is one of the most important problems in the tracking literature. Most existing approaches treat LFR video tracking as an abrupt motion tracking problem. However, in LFR video tracking applications, LFR not only causes abrupt motions, but also large appearance changes of objects because the objects' poses and the illumination may undergo large changes from one frame to the next. This adds extra difficulties to LFR video tracking. In this paper, we propose a robust and general tracking system for LFR videos. The tracking system consists of four major parts: dominant color-spatial based object representation, bin-ratio based similarity measure, annealed particle swarm optimization (PSO) based searching, and an integral image based parameter calculation. The first two parts are combined to provide a good solution to the appearance changes, and the abrupt motion is effectively captured by the annealed PSO based searching. Moreover, an integral image of model parameters is constructed, which provides a look-up table for parameters calculation. This greatly reduces the computational load. Experimental results demonstrate that the proposed tracking system can effectively tackle the difficulties caused by LFR. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence |
| 研究领域[WOS] | Computer Science |
| 关键词[WOS] | VISUAL TRACKING ; PARTICLE FILTERS ; OBJECT TRACKING ; MODELS ; RECOGNITION |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000365089800003 |
| 公开日期 | 2016-02-26 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/10511]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_视频内容安全团队 |
| 作者单位 | 1.Wenzhou Univ, Inst Intelligent Syst & Decis, Hangzhou, Zhejiang, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China 3.Zhejiang Univ, Dept Comp Sci, Hangzhou, Zhejiang, Peoples R China 4.Birkbeck Coll, Dept Comp Sci & Informat Syst, London, England |
| 推荐引用方式 GB/T 7714 | Zhang, Xiaoqin,Hu, Weiming,Xie, Nianhua,et al. A Robust Tracking System for Low Frame Rate Video[J]. INTERNATIONAL JOURNAL OF COMPUTER VISION,2015,115(3):279-304. |
| APA | Zhang, Xiaoqin,Hu, Weiming,Xie, Nianhua,Bao, Hujun,&Maybank, Stephen.(2015).A Robust Tracking System for Low Frame Rate Video.INTERNATIONAL JOURNAL OF COMPUTER VISION,115(3),279-304. |
| MLA | Zhang, Xiaoqin,et al."A Robust Tracking System for Low Frame Rate Video".INTERNATIONAL JOURNAL OF COMPUTER VISION 115.3(2015):279-304. |
入库方式： OAI收割
来源：自动化研究所
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