Robust scale adaptive tracking by combining correlation filters with sequential Monte Carlo
文献类型：期刊论文
| 作者 | Ma JK(马俊凯); Luo HB(罗海波) ; Hui B(惠斌); Chang Z(常铮)
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| 刊名 | SENSORS
 |
| 出版日期 | 2017 |
| 卷号 | 17期号:3页码:1-16 |
| ISSN号 | 1424-8220 |
| 关键词 | Target Tracking Sequential Monte Carlo Framework Correlation Filter Scale Estimation Occlusion |
| 产权排序 | 1 |
| 英文摘要 | A robust and efficient object tracking algorithm is required in a variety of computer vision applications. Although various modern trackers have impressive performance, some challenges such as occlusion and target scale variation are still intractable, especially in the complex scenarios. This paper proposes a robust scale adaptive tracking algorithm to predict target scale by a sequential Monte Carlo method and determine the target location by the correlation filter simultaneously. By analyzing the response map of the target region, the completeness of the target can be measured by the peak-to-sidelobe rate (PSR), i.e., the lower the PSR, the more likely the target is being occluded. A strict template update strategy is designed to accommodate the appearance change and avoid template corruption. If the occlusion occurs, a retained scheme is allowed and the tracker refrains from drifting away. Additionally, the feature integration is incorporated to guarantee the robustness of the proposed approach. The experimental results show that our method outperforms other state-of-the-art trackers in terms of both the distance precision and overlap precision on the publicly available TB-50 dataset. |
| WOS关键词 | VISUAL TRACKING ; OBJECT TRACKING ; APPEARANCE MODEL |
| WOS研究方向 | Chemistry ; Electrochemistry ; Instruments & Instrumentation |
| 语种 | 英语 |
| WOS记录号 | WOS:000398818700085 |
| 源URL | [http://ir.sia.cn/handle/173321/20207]  |
| 专题 | 沈阳自动化研究所_光电信息技术研究室 |
| 通讯作者 | Ma JK(马俊凯) |
| 作者单位 | 1.University of Chinese Academy of Sciences, Beijing 100049, China 2.Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China 3.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China |
| 推荐引用方式 GB/T 7714 | Ma JK,Luo HB,Hui B,et al. Robust scale adaptive tracking by combining correlation filters with sequential Monte Carlo[J]. SENSORS,2017,17(3):1-16. |
| APA | Ma JK,Luo HB,Hui B,&Chang Z.(2017).Robust scale adaptive tracking by combining correlation filters with sequential Monte Carlo.SENSORS,17(3),1-16. |
| MLA | Ma JK,et al."Robust scale adaptive tracking by combining correlation filters with sequential Monte Carlo".SENSORS 17.3(2017):1-16. |
入库方式： OAI收割
来源：沈阳自动化研究所
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