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A Survey of Appearance Models in Visual Object Tracking
文献类型:期刊论文
作者 | Li, Xi1,2; Hu, Weiming1![]() |
刊名 | ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY
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出版日期 | 2013-09-01 |
卷号 | 4期号:4 |
关键词 | Algorithms Performances Visual object tracking appearance model features statistical modeling |
英文摘要 | Visual object tracking is a significant computer vision task which can be applied to many domains, such as visual surveillance, human computer interaction, and video compression. Despite extensive research on this topic, it still suffers from difficulties in handling complex object appearance changes caused by factors such as illumination variation, partial occlusion, shape deformation, and camera motion. Therefore, effective modeling of the 2D appearance of tracked objects is a key issue for the success of a visual tracker. In the literature, researchers have proposed a variety of 2D appearance models. |
WOS标题词 | Science & Technology ; Technology |
类目[WOS] | Computer Science, Artificial Intelligence ; Computer Science, Information Systems |
研究领域[WOS] | Computer Science |
关键词[WOS] | TIME FACE DETECTION ; ROBUST TRACKING ; PARTICLE FILTERS ; FEATURES ; RECOGNITION ; HISTOGRAMS ; COLOR ; VIDEO ; SURVEILLANCE ; ALGORITHM |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000327451600002 |
源URL | [http://ir.ia.ac.cn/handle/173211/3258] ![]() |
专题 | 自动化研究所_模式识别国家重点实验室_视频内容安全团队 |
作者单位 | 1.Chinese Acad Sci, Inst Automat, NLPR, Beijing 100864, Peoples R China 2.Univ Adelaide, Adelaide, SA 5005, Australia 3.SUNY Binghamton, Binghamton, NY USA |
推荐引用方式 GB/T 7714 | Li, Xi,Hu, Weiming,Shen, Chunhua,et al. A Survey of Appearance Models in Visual Object Tracking[J]. ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY,2013,4(4). |
APA | Li, Xi,Hu, Weiming,Shen, Chunhua,Zhang, Zhongfei,Dick, Anthony,&Van den Hengel, Anton.(2013).A Survey of Appearance Models in Visual Object Tracking.ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY,4(4). |
MLA | Li, Xi,et al."A Survey of Appearance Models in Visual Object Tracking".ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY 4.4(2013). |
入库方式: OAI收割
来源:自动化研究所
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