Multi-cue based tracking
文献类型:期刊论文
作者 | Wang, Qi1; Fang, Jianwu2; Yuan, Yuan2![]() |
刊名 | neurocomputing
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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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