Ego motion guided particle filter for vehicle tracking in airborne videos
文献类型：期刊论文
| 作者 | Cao, Xianbin1; Gao, Changcheng1; Lan, Jinhe2; Yuan, Yuan3 ; Yan, Pingkun3
|
| 刊名 | neurocomputing
 |
| 出版日期 | 2014-01-26 |
| 卷号 | 124期号:si页码:168-177 |
| 关键词 | Airborne video Particle filter Ego motion Visual tracking KLT feature |
| ISSN号 | 0925-2312 |
| 英文摘要 | tracking in airborne circumstances is receiving more and more attention from researchers, and it has become one of the most important components in video surveillance for its advantage of better mobility, larger surveillance scope and so on. however, airborne vehicle tracking is very challenging due to the factors such as platform motion, scene complexity, etc. in this paper, to address these problems, a new framework based on kanade-lucas-tomasi (klt) features and particle filter is proposed. klt features are tracked throughout the video sequence. at the beginning of video tracking, a strategy based on motion consistence with ransac is utilized to separate background kit features. the grouping of background features helps estimate the ego motion of the platform and the estimation is then incorporated into the prediction step in particle filter. color similarity and hu moments are used in the measurement model to assign the weights of particles. our experimental results demonstrated that the proposed method outperformed the other tracking methods. (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] | object tracking ; mean shift ; surveillance ; features |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000326853600020 |
| 公开日期 | 2015-03-18 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/22398]  |
| 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.BeiHang Univ, Sch Elect Informat, Beijing 100083, Peoples R China 2.Univ Sci & Technol China, Sch Comp Sci & Technol, Hefei 230026, Peoples R China 3.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr OPT IMagery Anal & Learning OPTIMAL, Xian 710119, Shaanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Cao, Xianbin,Gao, Changcheng,Lan, Jinhe,et al. Ego motion guided particle filter for vehicle tracking in airborne videos[J]. neurocomputing,2014,124(si):168-177. |
| APA | Cao, Xianbin,Gao, Changcheng,Lan, Jinhe,Yuan, Yuan,&Yan, Pingkun.(2014).Ego motion guided particle filter for vehicle tracking in airborne videos.neurocomputing,124(si),168-177. |
| MLA | Cao, Xianbin,et al."Ego motion guided particle filter for vehicle tracking in airborne videos".neurocomputing 124.si(2014):168-177. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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