Scale adaptive part-based tracking method using multiple correlation filters
文献类型:期刊论文
作者 | Chen, Hongyu1,2,3,4,5,6; Luo, Haibo2,3,4,5,6; Chen, Faling1,2,3,4,5,6; Hui, Bin2,3,4,5,6; Chang, Zheng2,3,4,5,6 |
刊名 | OPTICAL ENGINEERING
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出版日期 | 2019-05-01 |
卷号 | 58期号:5页码:12 |
关键词 | target tracking correlation filter scale estimation deformable parts model computer vision |
ISSN号 | 0091-3286 |
DOI | 10.1117/1.OE.58.5.053106 |
通讯作者 | Chen, Hongyu(chenhongyu@sia.cn) |
英文摘要 | Visual tracking plays a significant role in computer vision. Although numerous tracking algorithms have shown promising results, target tracking remains a challenging task due to appearance changes caused by deformation, scale variation, and partial occlusion. Part-based methods have great potential in addressing the deformation and partial occlusion issues. Owing to the addition of multiple part trackers, most of these part-based trackers cannot run in real time. Correlation filters have been used in target tracking owing to their high efficiency. However, the correlation filter-based trackers face great problems dealing with occlusion, deformation, and scale variation. To better address the above-mentioned issues, we present a scale adaptive part-based tracking method using multiple correlation filters. Our proposed method utilizes the scale-adaptive tracker for both root and parts. The target location is determined by the responses of root tracker and part trackers collaboratively. To estimate the target scale more precisely, the root scale and each part scale are predicted with the sequential Monte Carlo framework. An adaptive weight joint confidence map is acquired by assigning proper weights to independent confidence maps. Experimental results on the publicly available OTB100 dataset demonstrate that our approach outperforms other state-of-the-art trackers. (C) 2019 Society of Photo-Optical Instrumentation Engineers (SPIE). |
WOS研究方向 | Optics |
语种 | 英语 |
WOS记录号 | WOS:000481889500017 |
出版者 | SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS |
源URL | [http://ir.imr.ac.cn/handle/321006/134945] ![]() |
专题 | 金属研究所_中国科学院金属研究所 |
通讯作者 | Chen, Hongyu |
作者单位 | 1.Univ Chinese Acad Sci, Beijing, Peoples R China 2.Chinese Acad Sci, Key Lab Optoelect Informat Proc, Shenyang, Liaoning, Peoples R China 3.The Key Lab Image Understanding & Comp Vis, Shenyang, Liaoning, Peoples R China 4.Chinese Acad Sci, Shenyang Inst Automat, Shenyang, Liaoning, Peoples R China 5.Chinese Acad Sci, Inst Robot, Shenyang, Liaoning, Peoples R China 6.Chinese Acad Sci, Inst Intelligent Mfg, Shenyang, Liaoning, Peoples R China |
推荐引用方式 GB/T 7714 | Chen, Hongyu,Luo, Haibo,Chen, Faling,et al. Scale adaptive part-based tracking method using multiple correlation filters[J]. OPTICAL ENGINEERING,2019,58(5):12. |
APA | Chen, Hongyu,Luo, Haibo,Chen, Faling,Hui, Bin,&Chang, Zheng.(2019).Scale adaptive part-based tracking method using multiple correlation filters.OPTICAL ENGINEERING,58(5),12. |
MLA | Chen, Hongyu,et al."Scale adaptive part-based tracking method using multiple correlation filters".OPTICAL ENGINEERING 58.5(2019):12. |
入库方式: OAI收割
来源:金属研究所
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