中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Multi-cue based tracking

文献类型:期刊论文

作者Wang, Qi1; Fang, Jianwu2; Yuan, Yuan2
刊名neurocomputing
出版日期2014-05-05
卷号131页码:227-236
关键词Computer vision Kinect Optical flow Depth Tracking
ISSN号0925-2312
英文摘要visual tracking is a central topic in computer vision. however, the accurate localization of target object in extreme conditions (such as occlusion, scaling, illumination change, and shape transformation) still remains a challenge. in this paper, we explore utilizing multi-cue information to ensure a robust tracking. optical flow, color and depth clues are simultaneously incorporated in our framework. the optical flow can get a rough estimation of the target location. then the part-based structure is adopted to establish the precise position, combining both color and depth statistics. in order to validate the robustness of the proposed method, we take four video sequences of different demanding situations and compare our method with five competitive ones representing state of the arts. experiments prove the effectiveness of the proposed method. (c) 2013 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]optical-flow ; visual tracking ; saliency detection ; mean shift ; model ; histograms ; sensor ; surf
收录类别SCI ; EI
语种英语
WOS记录号WOS:000332805700025
公开日期2015-03-18
源URL[http://ir.opt.ac.cn/handle/181661/22402]  
专题西安光学精密机械研究所_光学影像学习与分析中心
作者单位1.Northwestern Polytech Univ, Xian 710072, Shaanxi, Peoples R China
2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714
Wang, Qi,Fang, Jianwu,Yuan, Yuan. Multi-cue based tracking[J]. neurocomputing,2014,131:227-236.
APA Wang, Qi,Fang, Jianwu,&Yuan, Yuan.(2014).Multi-cue based tracking.neurocomputing,131,227-236.
MLA Wang, Qi,et al."Multi-cue based tracking".neurocomputing 131(2014):227-236.

入库方式: OAI收割

来源:西安光学精密机械研究所

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