Principal axis-based correspondence between multiple cameras for people tracking
文献类型:期刊论文
作者 | Hu, WM![]() ![]() |
刊名 | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
![]() |
出版日期 | 2006-04-01 |
卷号 | 28期号:4页码:663-671 |
关键词 | correspondence between multiple cameras principal axes people tracking |
英文摘要 | Visual surveillance using multiple cameras has attracted increasing interest in recent years. Correspondence between multiple cameras is one of the most important and basic problems which visual surveillance using multiple cameras brings. In this paper, we propose a simple and robust method, based on principal axes of people, to match people across multiple cameras. The correspondence likelihood reflecting the similarity of pairs of principal axes of people is constructed according to the relationship between "ground-points" of people detected in each camera view and the intersections of principal axes detected in different camera views and transformed to the same view. Our method has the following desirable properties: 1) Camera calibration is not needed. 2) Accurate motion detection and segmentation are less critical due to the robustness of the principal axis-based feature to noise. 3) Based on the fused data derived from correspondence results, positions of people in each camera view can be accurately located even when the people are partially occluded in all views. The experimental results on several real video sequences from outdoor environments have demonstrated the effectiveness, efficiency, and robustness of our method. |
WOS标题词 | Science & Technology ; Technology |
类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
研究领域[WOS] | Computer Science ; Engineering |
关键词[WOS] | REAL-TIME TRACKING ; MOTION ; SURVEILLANCE |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000235253300016 |
公开日期 | 2015-12-24 |
源URL | [http://ir.ia.ac.cn/handle/173211/9333] ![]() |
专题 | 自动化研究所_09年以前成果 |
作者单位 | 1.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100080, Peoples R China 2.Univ London Birkbeck Coll, Sch Comp Sci & Informat Syst, London WC1E 7HX, England |
推荐引用方式 GB/T 7714 | Hu, WM,Zhou, X,Tan, TN,et al. Principal axis-based correspondence between multiple cameras for people tracking[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2006,28(4):663-671. |
APA | Hu, WM,Zhou, X,Tan, TN,Lou, JG,&Maybank, S.(2006).Principal axis-based correspondence between multiple cameras for people tracking.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,28(4),663-671. |
MLA | Hu, WM,et al."Principal axis-based correspondence between multiple cameras for people tracking".IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 28.4(2006):663-671. |
入库方式: OAI收割
来源:自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。