An Adaptive Padding Correlation Filter With Group Feature Fusion for Robust Visual Tracking
文献类型：期刊论文
| 作者 | Zihang Feng; Liping Yan; Yuanqing Xia; Bo Xiao |
| 刊名 | IEEE/CAA Journal of Automatica Sinica
 |
| 出版日期 | 2022 |
| 卷号 | 9期号:10页码:1845-1860 |
| 关键词 | Adaptive padding context information correlation filter (CF) feature group fusion robust visual tracking |
| ISSN号 | 2329-9266 |
| DOI | 10.1109/JAS.2022.105878 |
| 英文摘要 | In recent visual tracking research, correlation filter (CF) based trackers become popular because of their high speed and considerable accuracy. Previous methods mainly work on the extension of features and the solution of the boundary effect to learn a better correlation filter. However, the related studies are insufficient. By exploring the potential of trackers in these two aspects, a novel adaptive padding correlation filter (APCF) with feature group fusion is proposed for robust visual tracking in this paper based on the popular context-aware tracking framework. In the tracker, three feature groups are fused by use of the weighted sum of the normalized response maps, to alleviate the risk of drift caused by the extreme change of single feature. Moreover, to improve the adaptive ability of padding for the filter training of different object shapes, the best padding is selected from the preset pool according to tracking precision over the whole video, where tracking precision is predicted according to the prediction model trained by use of the sequence features of the first several frames. The sequence features include three traditional features and eight newly constructed features. Extensive experiments demonstrate that the proposed tracker is superior to most state-of-the-art correlation filter based trackers and has a stable improvement compared to the basic trackers. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/49713]  |
| 专题 | 自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica |
| 推荐引用方式 GB/T 7714 | Zihang Feng,Liping Yan,Yuanqing Xia,et al. An Adaptive Padding Correlation Filter With Group Feature Fusion for Robust Visual Tracking[J]. IEEE/CAA Journal of Automatica Sinica,2022,9(10):1845-1860. |
| APA | Zihang Feng,Liping Yan,Yuanqing Xia,&Bo Xiao.(2022).An Adaptive Padding Correlation Filter With Group Feature Fusion for Robust Visual Tracking.IEEE/CAA Journal of Automatica Sinica,9(10),1845-1860. |
| MLA | Zihang Feng,et al."An Adaptive Padding Correlation Filter With Group Feature Fusion for Robust Visual Tracking".IEEE/CAA Journal of Automatica Sinica 9.10(2022):1845-1860. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。