A Comparison of Correlation Filter-Based Trackers and Struck Trackers
文献类型：期刊论文
| 作者 | Wang, Jinqiao1,2 ; Zheng, Linyu1,2; Tang, Ming1,2; Feng, Jiayi3
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| 刊名 | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
 |
| 出版日期 | 2020-09-01 |
| 卷号 | 30期号:9页码:3106-3118 |
| 关键词 | Correlation Target tracking Kernel Support vector machines Training Optimization Discrete Fourier transforms Visual tracking correlation filters structured output SVM tracker struck ranking SVM tracker |
| ISSN号 | 1051-8215 |
| DOI | 10.1109/TCSVT.2019.2931924 |
| 通讯作者 | Wang, Jinqiao(jqwang@nlpr.ia.ac.cn) |
| 英文摘要 | In recent years, two types of trackers, namely correlation filter-based tracker (CF tracker) and structured output tracker (struck), have exhibited the state-of-the-art performance. However, there seems to be a lack of analytic work on their relations in the computer vision community. In this paper, we investigate two state-of-the-art CF trackers, i.e., spatial regularization discriminative correlation filter (SRDCF) and correlation filter with limited boundaries (CFLB), and struck, and reveal their relations. Specifically, after extending the CFLB to its multiple channel versions, we prove the relation between SRDCF and CFLB on the condition that the spatial regularization factor of SRDCF is replaced by the masking matrix of CFLB. We also prove the asymptotical approximate relation between SRDCF and struck on the conditions that the spatial regularization factor of SRDCF is replaced by an indicator function of object bounding box, the weights of SRDCF in its loss item are replaced by those of struck, the linear kernel is employed by struck, and the search region tends to infinity. The extensive experiments on public benchmarks OTB50 and OTB100 are conducted to verify our theoretical results. Moreover, we explain how detailed differences among SRDCF, CFLB, and Struck would give rise to slightly different performances on visual sequences. |
| WOS关键词 | OBJECT TRACKING ; VISUAL TRACKING |
| 资助项目 | Natural Science Foundation of China[61772527] |
| WOS研究方向 | Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000567499300025 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | Natural Science Foundation of China |
| 源URL | [http://ir.ia.ac.cn/handle/173211/41953]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_图像与视频分析团队 |
| 通讯作者 | Wang, Jinqiao |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 3.Microsoft Search Technol Ctr Asia STCA, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Jinqiao,Zheng, Linyu,Tang, Ming,et al. A Comparison of Correlation Filter-Based Trackers and Struck Trackers[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2020,30(9):3106-3118. |
| APA | Wang, Jinqiao,Zheng, Linyu,Tang, Ming,&Feng, Jiayi.(2020).A Comparison of Correlation Filter-Based Trackers and Struck Trackers.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,30(9),3106-3118. |
| MLA | Wang, Jinqiao,et al."A Comparison of Correlation Filter-Based Trackers and Struck Trackers".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 30.9(2020):3106-3118. |
入库方式： OAI收割
来源：自动化研究所
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