Dual-scale weighted structural local sparse appearance model for object tracking
文献类型：期刊论文
| 作者 | Zeng, Xianyou1,2; Xu, Long3; Cen, Yigang1,2; Zhao, Ruizhen1,2; Feng, Wanli1,2 |
| 刊名 | IET COMPUTER VISION
 |
| 出版日期 | 2019-03-01 |
| 卷号 | 13期号:2页码:146-156 |
| ISSN号 | 1751-9632 |
| DOI | 10.1049/iet-cvi.2018.5158 |
| 英文摘要 | It is a great challenge to develop an effective appearance model for robust visual tracking due to various interfering factors, such as pose change, occlusion, background clutter etc. More and more visual tracking methods tend to exploit the local appearance model to deal with the above challenges. In this study, the authors present a simple yet effective weighted structural local sparse appearance model, which can better describe the target appearance information through patch-based generative weight. To further improve the robustness of tracking, they implement this appearance model on two-scale patches. The two derived appearance models are then combined to form a collaborative model to play their advantages. Extensive experiments on the tracking benchmark dataset show that the proposed method performs favourably against several state-of-the-art methods. |
| WOS关键词 | VISUAL TRACKING ; ROBUST |
| 资助项目 | National Natural Science Foundation of China (NSFC)[61572461] ; National Natural Science Foundation of China (NSFC)[11790305] ; National Natural Science Foundation of China (NSFC)[11433006] ; National Natural Science Foundation of China (NSFC)[61872034] ; CAS '100-Talents' |
| WOS研究方向 | Computer Science ; Engineering |
| 语种 | 英语 |
| 出版者 | INST ENGINEERING TECHNOLOGY-IET |
| WOS记录号 | WOS:000459454900009 |
| 资助机构 | National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; CAS '100-Talents' ; CAS '100-Talents' ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; CAS '100-Talents' ; CAS '100-Talents' ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; CAS '100-Talents' ; CAS '100-Talents' ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; CAS '100-Talents' ; CAS '100-Talents' |
| 源URL | [http://ir.bao.ac.cn/handle/114a11/25101]  |
| 专题 | 中国科学院国家天文台 |
| 通讯作者 | Zhao, Ruizhen |
| 作者单位 | 1.Beijing Jiaotong Univ, Inst Informat Sci, Beijing 100044, Peoples R China 2.Key Lab Adv Informat Sci & Network Technol Beijin, Beijing 100044, Peoples R China 3.Chinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zeng, Xianyou,Xu, Long,Cen, Yigang,et al. Dual-scale weighted structural local sparse appearance model for object tracking[J]. IET COMPUTER VISION,2019,13(2):146-156. |
| APA | Zeng, Xianyou,Xu, Long,Cen, Yigang,Zhao, Ruizhen,&Feng, Wanli.(2019).Dual-scale weighted structural local sparse appearance model for object tracking.IET COMPUTER VISION,13(2),146-156. |
| MLA | Zeng, Xianyou,et al."Dual-scale weighted structural local sparse appearance model for object tracking".IET COMPUTER VISION 13.2(2019):146-156. |
入库方式： OAI收割
来源：国家天文台
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