Detection of Sudden Pedestrian Crossings for Driving Assistance Systems
文献类型：期刊论文
| 作者 | Xu, Yanwu1; Xu, Dong1; Lin, Stephen2; Han, Tony X.3; Cao, Xianbin4; Li, Xuelong5 |
| 刊名 | ieee transactions on systems man and cybernetics part b-cybernetics
 |
| 出版日期 | 2012-06-01 |
| 卷号 | 42期号:3页码:729-739 |
| 关键词 | Coarse to fine pedestrian detection performance evaluation spatiotemporal refinement sudden pedestrian crossing |
| ISSN号 | 1083-4419 |
| 产权排序 | 5 |
| 合作状况 | 国际 |
| 英文摘要 | in this paper, we study the problem of detecting sudden pedestrian crossings to assist drivers in avoiding accidents. this application has two major requirements: to detect crossing pedestrians as early as possible just as they enter the view of the car-mounted camera and to maintain a false alarm rate as low as possible for practical purposes. although many current sliding-window-based approaches using various features and classification algorithms have been proposed for image-/video-based pedestrian detection, their performance in terms of accuracy and processing speed falls far short of practical application requirements. to address this problem, we propose a three-level coarse-to-fine video-based framework that detects partially visible pedestrians just as they enter the camera view, with low false alarm rate and high speed. the framework is tested on a new collection of high-resolution videos captured from a moving vehicle and yields a performance better than that of state-of-the-art pedestrian detection while running at a frame rate of 55 fps. |
| WOS标题词 | science & technology ; technology |
| 学科主题 | automation & control systems ; computer science ; artificial intelligence ; computer science ; cybernetics |
| 类目[WOS] | automation & control systems ; computer science, artificial intelligence ; computer science, cybernetics |
| 研究领域[WOS] | automation & control systems ; computer science |
| 关键词[WOS] | object tracking ; classification ; features ; surveillance ; motion ; gait ; segmentation ; recognition ; patterns ; scenes |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000304163200012 |
| 公开日期 | 2012-09-03 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/20264]  |
| 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.Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore 2.Microsoft Res Asia, Beijing 100080, Peoples R China 3.Univ Missouri, Dept Elect & Comp Engn, Columbia, MO 65211 USA 4.Beihang Univ, Sch Elect Informat Engn, Beijing 100191, Peoples R China 5.Chinese Acad Sci, Ctr Opt Imagery Anal & Learning OPTIMAL, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xu, Yanwu,Xu, Dong,Lin, Stephen,et al. Detection of Sudden Pedestrian Crossings for Driving Assistance Systems[J]. ieee transactions on systems man and cybernetics part b-cybernetics,2012,42(3):729-739. |
| APA | Xu, Yanwu,Xu, Dong,Lin, Stephen,Han, Tony X.,Cao, Xianbin,&Li, Xuelong.(2012).Detection of Sudden Pedestrian Crossings for Driving Assistance Systems.ieee transactions on systems man and cybernetics part b-cybernetics,42(3),729-739. |
| MLA | Xu, Yanwu,et al."Detection of Sudden Pedestrian Crossings for Driving Assistance Systems".ieee transactions on systems man and cybernetics part b-cybernetics 42.3(2012):729-739. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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