An Adaptive Multi-Features Aware Correlation Filter for Visual Tracking | |
Zhang XY(张祥越)2,3,4,5,6![]() ![]() ![]() ![]() | |
刊名 | IEEE ACCESS
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2019 | |
卷号 | 7页码:134772-134781 |
关键词 | Visual tracking correlation filter adaptive multi-features fusion computer vision |
ISSN号 | 2169-3536 |
产权排序 | 1 |
英文摘要 | In recent years, correlation filter (CF) based tracking methods have attracted more attention due to its low computational complexity and excellent performance. Most CF based tracking methods adopt CNN features of multiple layers to train the tracker for better performance. These methods fuse CNN features of multiple layers directly, and cannot make full use of the valuable information contained in the CNN features. In this paper, an adaptive multi-features aware correlation filter method is proposed. By extracting several basic features, different combinations of CNN features are formed. The proposed method can select an optimal feature combination for tracking adaptively according to the object appearance at the current frame. Experimental results show that the proposed method can track different challenging sequences robustly. By evaluating on the OTB-100 dataset, it can be found that the proposed method is advantageous compared with the state-of-the-art methods. |
语种 | 英语 |
WOS记录号 | WOS:000498671000001 |
资助机构 | Key Project of Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences [Y6TB020401] |
内容类型 | 期刊论文 |
源URL | [http://ir.sia.cn/handle/173321/25982] ![]() |
专题 | 沈阳自动化研究所_光电信息技术研究室 |
通讯作者 | Zhang XY(张祥越) |
作者单位 | 1.Space Star Technology Company Ltd., Beijing 100086, China 2.Key Laboratory of Image Understanding and Computer Vision, Chinese Academy of Sciences, Shenyang 110016, China 3.Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China 4.University of Chinese Academy of Sciences, Beijing 100049, China 5.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China 6.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China |
推荐引用方式 GB/T 7714 | Zhang XY,Ding QH,Luo HB,et al. An Adaptive Multi-Features Aware Correlation Filter for Visual Tracking[J]. IEEE ACCESS,2019,7:134772-134781. |
APA | Zhang XY,Ding QH,Luo HB,Hui B,&Chang Z.(2019).An Adaptive Multi-Features Aware Correlation Filter for Visual Tracking.IEEE ACCESS,7,134772-134781. |
MLA | Zhang XY,et al."An Adaptive Multi-Features Aware Correlation Filter for Visual Tracking".IEEE ACCESS 7(2019):134772-134781. |
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