| Vehicle Detection and Motion Analysis in Low-Altitude Airborne Video Under Urban Environment | |
| Cao, Xianbin1; Wu, Changxia2; Lan, Jinhe2; Yan, Pingkun3; Li, Xuelong3 | |
| 作者部门 | 光学影像分析与学习中心 |
| 2011-10-01 | |
| 发表期刊 | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
 |
| ISSN | 1051-8215 |
| 卷号 | 21期号:10页码:1522-1533 |
| 产权排序 | 4 |
| 摘要 | Visual surveillance from low-altitude airborne platforms plays a key role in urban traffic surveillance. Moving vehicle detection and motion analysis are very important for such a system. However, illumination variance, scene complexity, and platform motion make the tasks very challenging. In addition, the used algorithms have to be computationally efficient in order to be used on a real-time platform. To deal with these problems, a new framework for vehicle detection and motion analysis from low-altitude airborne videos is proposed. Our paper has two major contributions. First, to speed up feature extraction and to retain additional global features in different scales for higher classification accuracy, a boosting light and pyramid sampling histogram of oriented gradients feature extraction method is proposed. Second, to efficiently correlate vehicles across different frames for vehicle motion trajectories computation, a spatio-temporal appearance-related similarity measure is proposed. Compared to other representative existing methods, our experimental results showed that the proposed method is able to achieve better performance with higher detection rate, lower false positive rate, and faster detection speed. |
| 文章类型 | Article |
| 关键词 | Motion Analysis Moving Vehicle Detection Spatio-temporal Urban Environment |
| 学科领域 | 信号与模式识别 |
| WOS标题词 | Science & Technology ; Technology |
| DOI | 10.1109/TCSVT.2011.2162274 |
| 收录类别 | SCI ; EI |
| 关键词[WOS] | SURVEILLANCE ; EXTRACTION |
| 语种 | 英语 |
| WOS研究方向 | Engineering |
| WOS类目 | Engineering, Electrical & Electronic |
| WOS记录号 | WOS:000295585000016 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/14377 |
| 专题 | 光谱成像技术研究室 |
| 作者单位 | 1.Beihang Univ, Sch Elect & Informat Engn, Beijing 100083, Peoples R China 2.Univ Sci & Technol China, Hefei 230026, Peoples R China 3.Chinese Acad Sci, Ctr Opt Imagery Anal & Learning, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China |
| 推荐引用方式 GB/T 7714 | Cao, Xianbin,Wu, Changxia,Lan, Jinhe,et al. Vehicle Detection and Motion Analysis in Low-Altitude Airborne Video Under Urban Environment[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2011,21(10):1522-1533. |
| APA | Cao, Xianbin,Wu, Changxia,Lan, Jinhe,Yan, Pingkun,&Li, Xuelong.(2011).Vehicle Detection and Motion Analysis in Low-Altitude Airborne Video Under Urban Environment.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,21(10),1522-1533. |
| MLA | Cao, Xianbin,et al."Vehicle Detection and Motion Analysis in Low-Altitude Airborne Video Under Urban Environment".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 21.10(2011):1522-1533. |
| 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 | ||
| Vehicle Detection an（1114KB） | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 | |
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