| Correlation Filter Tracking Algorithm Based on Filter Space Constraint and Object Re-Detection | |
Tian, Yan ; Ren, Sixi; Xu, Zhaohui; Zhang, Yongkang
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| 2023 | |
| 会议名称 | 8th International Conference on Image, Vision and Computing, ICIVC 2023 |
| 会议录名称 | 2023 8th International Conference on Image, Vision and Computing, ICIVC 2023 |
| 页码 | 25-32 |
| 会议日期 | 2023 - 7 - 27 |
| 会议地点 | Dalian, China |
| 出版者 | Institute of Electrical and Electronics Engineers Inc. |
| 产权排序 | 1 |
| 摘要 | fast Discriminative Scale Space Tracking (fDSST) is an excellent object tracking algorithm with a good balance between tracking precision and running speed. In order to improve its long-term and stable tracking performance, especially its ability to recapture object, the fDSST_SrRed algorithm is proposed in this paper. The improvement details include: in order to reduce the negative impact of boundary effect on fDSST, a spatial constraint method of position filter is proposed; Aiming at the defect that the fDSST cannot relocate the object after the object is occluded and disappeared, an object re-detection method based on zero-filling of position filter was proposed. In order to judge when to start object detection, a tracking confidence evaluation index is proposed. Based on this confidence evaluation index, a dynamic filter update method is designed to make the filter learn more accurate object information and background information. Experiments show that compared with the baseline fDSST, proposed algorithm has a great improvement in the tracking precision of occluded and disappeared scenes. Compared with other correlation filter based long-term tracking algorithms (LCT, MUSTER and FuCoLoT), the proposed algorithm not only has good tracking precision, but also has the fastest running speed. The experimental results show that the improvement is effective. © 2023 IEEE. |
| 关键词 | object tracking correlation filtering boundary effect object re-detection |
| 作者部门 | 光电跟踪与测量技术研究室 |
| DOI | 10.1109/ICIVC58118.2023.10270522 |
| 收录类别 | EI |
| ISBN号 | 9798350335231 |
| 语种 | 英语 |
| EI入藏号 | 20234515020715 |
| 引用统计 | |
| 文献类型 | 会议论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/96878 |
| 专题 | 光电跟踪与测量技术研究室 |
| 作者单位 | Xi'An Institute of Optics and Precision Mechanics of CAS, CAS Key Laboratory of Space Precision Measurement Technology, Xi'an, China |
| 推荐引用方式 GB/T 7714 | Tian, Yan,Ren, Sixi,Xu, Zhaohui,et al. Correlation Filter Tracking Algorithm Based on Filter Space Constraint and Object Re-Detection[C]:Institute of Electrical and Electronics Engineers Inc.,2023:25-32. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Correlation Filter T（1795KB） | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 | ||
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