Vehicle detection and tracking in airborne videos by multi-motion layer analysis
文献类型：期刊论文
| 作者 | Cao, Xianbin2,3; Lan, Jinhe3; Yan, Pingkun1; Li, Xuelong1 |
| 刊名 | machine vision and applications
 |
| 出版日期 | 2012-09-01 |
| 卷号 | 23期号:5页码:921-935 |
| 关键词 | Vehicle detection Frame registration Feature tracking Partial occlusion Motion layer |
| ISSN号 | 0932-8092 |
| 产权排序 | 1 |
| 合作状况 | 国内 |
| 英文摘要 | airborne vehicle detection and tracking systems equipped on unmanned aerial vehicles (uavs) are receiving more and more attention due to their advantages of high mobility, fast deployment and large surveillance scope. however, such systems are difficult to develop because of factors like uav motion, scene complexity, and especially the partial occlusion of targets. to address these problems, a new framework of multi-motion layer analysis is proposed to detect and track moving vehicles in airborne platform. after motion layers are constructed, they are maintained over time for tracking vehicles. most importantly, since the vehicle motion layers can be maintained even when the vehicles are only partially observed, the proposed method is robust to partial occlusion. our experimental results showed that (1) compared with other previous algorithms, our method can achieve better performance in terms of higher detection rate and lower false positive rate; (2) it is more efficient and more robust to partial occlusion; (3) it is able to meet the demand of real time application due to its computational simplicity. |
| WOS标题词 | science & technology ; technology |
| 学科主题 | 物理科学和化学 |
| 类目[WOS] | computer science, artificial intelligence ; computer science, cybernetics ; engineering, electrical & electronic |
| 研究领域[WOS] | computer science ; engineering |
| 关键词[WOS] | surveillance ; registration ; segmentation |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000307539300007 |
| 公开日期 | 2011-09-30 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/10579]  |
| 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.Chinese Acad Sci, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China 2.BeiHang Univ, Beijing 100083, Peoples R China 3.Univ Sci & Technol China, Hefei 230026, Peoples R China |
| 推荐引用方式 GB/T 7714 | Cao, Xianbin,Lan, Jinhe,Yan, Pingkun,et al. Vehicle detection and tracking in airborne videos by multi-motion layer analysis[J]. machine vision and applications,2012,23(5):921-935. |
| APA | Cao, Xianbin,Lan, Jinhe,Yan, Pingkun,&Li, Xuelong.(2012).Vehicle detection and tracking in airborne videos by multi-motion layer analysis.machine vision and applications,23(5),921-935. |
| MLA | Cao, Xianbin,et al."Vehicle detection and tracking in airborne videos by multi-motion layer analysis".machine vision and applications 23.5(2012):921-935. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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