| Ego motion guided particle filter for vehicle tracking in airborne videos | |
Cao, Xianbin1; Gao, Changcheng1; Lan, Jinhe2; Yuan, Yuan3 ; Yan, Pingkun3
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| 作者部门 | 光学影像学习与分析中心 |
| 2014-01-26 | |
| 发表期刊 | NEUROCOMPUTING
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| ISSN | 0925-2312 |
| 卷号 | 124期号:SI页码:168-177 |
| 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. |
| 文章类型 | Article |
| 关键词 | Airborne Video Particle Filter Ego Motion Visual Tracking Klt Feature |
| WOS标题词 | Science & Technology ; Technology |
| DOI | 10.1016/j.neucom.2013.07.014 |
| 收录类别 | SCI ; EI |
| 关键词[WOS] | OBJECT TRACKING ; MEAN SHIFT ; SURVEILLANCE ; FEATURES |
| 语种 | 英语 |
| WOS研究方向 | Computer Science |
| WOS类目 | Computer Science, Artificial Intelligence |
| WOS记录号 | WOS:000326853600020 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/22398 |
| 专题 | 光谱成像技术研究室 |
| 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. |
| 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 | ||
| Ego motion guided pa（2534KB） | 期刊论文 | 出版稿 | 限制开放 | CC BY | 请求全文 | |
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