Knowledge Commons of Institute of Automation,CAS
Learning weighted part models for object tracking | |
Zhao, Chaoyang; Wang, Jinqiao; Zhu, Guibo; Wu, Yi; Lu, Hanqing | |
发表期刊 | COMPUTER VISION AND IMAGE UNDERSTANDING |
2016-02-01 | |
卷号 | 143页码:173-182 |
文章类型 | Article |
摘要 | Despite significant improvements have been made for visual tracking in recent years, tracking arbitrary object is still a challenging problem. In this paper, we present a weighted part model tracker that can efficiently handle partial occlusion and appearance change. Firstly, the object appearance is modeled by a mixture of deformable part models with a graph structure. Secondly, through modeling the temporal evolution of each part with a mixture of Gaussian distribution, we present a temporal weighted model to dynamically adjust the importance of each part by measuring the fitness to the historical temporal distributions in the tracking process. Moreover, the temporal weighted models are used to control the sample selections for the update of part models, which makes different parts update differently due to partial occlusion or drastic appearance change. Finally, the weighted part models are solved by structural learning to locate the object. Experimental results show the superiority of the proposed approach. (C) 2016 Elsevier Inc. All rights reserved. |
关键词 | Part Graph Model Gaussian Mixture Model Weighted Model |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1016/j.cviu.2015.10.004 |
关键词[WOS] | VISUAL TRACKING ; POSE ESTIMATION ; ONLINE |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | 863 Program(2014AA015104) ; National Natural Science Foundation of China(61273034 ; 61332016) |
WOS研究方向 | Computer Science ; Engineering |
WOS类目 | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:000369776200014 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/11072 |
专题 | 紫东太初大模型研究中心_图像与视频分析 |
作者单位 | Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China |
第一作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Zhao, Chaoyang,Wang, Jinqiao,Zhu, Guibo,et al. Learning weighted part models for object tracking[J]. COMPUTER VISION AND IMAGE UNDERSTANDING,2016,143:173-182. |
APA | Zhao, Chaoyang,Wang, Jinqiao,Zhu, Guibo,Wu, Yi,&Lu, Hanqing.(2016).Learning weighted part models for object tracking.COMPUTER VISION AND IMAGE UNDERSTANDING,143,173-182. |
MLA | Zhao, Chaoyang,et al."Learning weighted part models for object tracking".COMPUTER VISION AND IMAGE UNDERSTANDING 143(2016):173-182. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
parttracker-revised.(1213KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 |
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