Fast Correlation Tracking Using Low-Dimensional Scale Filter and Local Search Strategy
文献类型：期刊论文
| 作者 | Hu, Qingyong2; Guo, Yulan1,2; Lin, Zaiping2; Deng, Xinpu2; An, Wei2 |
| 刊名 | IEEE ACCESS
 |
| 出版日期 | 2017 |
| 卷号 | 5页码:8568-8578 |
| 关键词 | Object tracking correlation filter scale filter dimensionality reduction local search strategy |
| ISSN号 | 2169-3536 |
| DOI | 10.1109/ACCESS.2017.2692242 |
| 英文摘要 | Recently, correlation filter-based tracking algorithms have attracted much attention for its high efficiency and robustness. However, achieving fast and accurate scale estimation remains a challenging problem. Most existing scale estimation approaches are inefficient and time-consuming. Besides, these existing trackers perform poorly when the object is under fast motion and partial occlusion due to limited searching area. In this paper, an independent scale filter is proposed to estimate the scale of an object, and the dimensionality reduction strategy is used to reduce computational cost. In addition, a local search strategy is proposed to expand the searching area of the tracker, which can effectively solve the problem caused by fast motion and occlusion. Extensive experiments have been conducted on three large-scale benchmarks, and it is shown that our proposed tracker outperforms the most state-of-the-art trackers. It achieves an average precision score of 87.2%, and an average success score of 65.2% on the object tracking benchmark-2013 benchmark. Moreover, our proposed tracker can run at a speed of nearly 80 frames/s on a single CPU, exceeding most competitive trackers by several times. |
| 资助项目 | National Natural Science Foundation of China[61602499] ; National Natural Science Foundation of China[61471371] ; National Postdoctoral Program for Innovative Talents[BX201600172] |
| WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:000403140800151 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/7059]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Guo, Yulan |
| 作者单位 | 1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 2.Natl Univ Def Technol, Coll Elect Sci & Engn, Changsha 410073, Hunan, Peoples R China |
| 推荐引用方式 GB/T 7714 | Hu, Qingyong,Guo, Yulan,Lin, Zaiping,et al. Fast Correlation Tracking Using Low-Dimensional Scale Filter and Local Search Strategy[J]. IEEE ACCESS,2017,5:8568-8578. |
| APA | Hu, Qingyong,Guo, Yulan,Lin, Zaiping,Deng, Xinpu,&An, Wei.(2017).Fast Correlation Tracking Using Low-Dimensional Scale Filter and Local Search Strategy.IEEE ACCESS,5,8568-8578. |
| MLA | Hu, Qingyong,et al."Fast Correlation Tracking Using Low-Dimensional Scale Filter and Local Search Strategy".IEEE ACCESS 5(2017):8568-8578. |
入库方式： OAI收割
来源：计算技术研究所
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