Robust Object Tracking with Reacquisition Ability using Online Learned Detector
文献类型：期刊论文
| 作者 | Yang Tianyu; Li Baopu; Meng Max Q. -H. |
| 刊名 | IEEE TRANSACTIONS ON CYBERNETICS
 |
| 出版日期 | 2014 |
| 英文摘要 | Long term tracking is a challenging task for many applications. In this paper, we propose a novel tracking approach that can adapt various appearance changes such as illumination, motion, and occlusions, and owns the ability of robust reacquisition after drifting. We utilize a condensation-based method with an online support vector machine as a reliable observation model to realize adaptive tracking. To redetect the target when drifting, a cascade detector based on random ferns is proposed. It can detect the target robustly in real time. After redetection, we also come up with a new refinement strategy to improve the tracker's performance by removing the support vectors corresponding to possible wrong updates by a matching template. Extensive comparison experiments on typical and challenging benchmark dataset illustrate a robust and encouraging performance of the proposed approach. |
| 收录类别 | SCI |
| 原文出处 | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6740843 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/5401]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | IEEE TRANSACTIONS ON CYBERNETICS |
| 推荐引用方式 GB/T 7714 | Yang Tianyu,Li Baopu,Meng Max Q. -H.. Robust Object Tracking with Reacquisition Ability using Online Learned Detector[J]. IEEE TRANSACTIONS ON CYBERNETICS,2014. |
| APA | Yang Tianyu,Li Baopu,&Meng Max Q. -H..(2014).Robust Object Tracking with Reacquisition Ability using Online Learned Detector.IEEE TRANSACTIONS ON CYBERNETICS. |
| MLA | Yang Tianyu,et al."Robust Object Tracking with Reacquisition Ability using Online Learned Detector".IEEE TRANSACTIONS ON CYBERNETICS (2014). |
入库方式： OAI收割
来源：深圳先进技术研究院
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