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Recent advances and trends in visual tracking: A review
文献类型：期刊论文
| 作者 | Yang, Hanxuan2,3; Shao, Ling1,2; Zheng, Feng2; Wang, Liang4 ; Song, Zhan2,5
|
| 刊名 | NEUROCOMPUTING
 |
| 出版日期 | 2011-11-01 |
| 卷号 | 74期号:18页码:3823-3831 |
| 关键词 | Visual tracking Feature descriptor Online learning Contextural information Monte Carlo sampling |
| 英文摘要 | The goal of this paper is to review the state-of-the-art progress on visual tracking methods, classify them into different categories, as well as identify future trends. Visual tracking is a fundamental task in many computer vision applications and has been well studied in the last decades. Although numerous approaches have been proposed, robust visual tracking remains a huge challenge. Difficulties in visual tracking can arise due to abrupt object motion, appearance pattern change, non-rigid object structures, occlusion and camera motion. In this paper, we first analyze the state-of-the-art feature descriptors which are used to represent the appearance of tracked objects. Then, we categorize the tracking progresses into three groups, provide detailed descriptions of representative methods in each group, and examine their positive and negative aspects. At last, we outline the future trends for visual tracking research. (C) 2011 Elsevier B.V. All rights reserved. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence |
| 研究领域[WOS] | Computer Science |
| 关键词[WOS] | FEATURES ; FILTER |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000296941200012 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/9754]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 作者单位 | 1.Univ Sheffield, Dept Elect & Elect Engn, Sheffield S10 2TN, S Yorkshire, England 2.Chinese Acad Sci, Shenzhen Inst Adv Technol, Beijing 100864, Peoples R China 3.S China Agr Univ, Dept Elect Engn, Guangzhou, Peoples R China 4.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100864, Peoples R China 5.Chinese Univ Hong Kong, Hong Kong, Hong Kong, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang, Hanxuan,Shao, Ling,Zheng, Feng,et al. Recent advances and trends in visual tracking: A review[J]. NEUROCOMPUTING,2011,74(18):3823-3831. |
| APA | Yang, Hanxuan,Shao, Ling,Zheng, Feng,Wang, Liang,&Song, Zhan.(2011).Recent advances and trends in visual tracking: A review.NEUROCOMPUTING,74(18),3823-3831. |
| MLA | Yang, Hanxuan,et al."Recent advances and trends in visual tracking: A review".NEUROCOMPUTING 74.18(2011):3823-3831. |
入库方式： OAI收割
来源：自动化研究所
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