| Detection of Sudden Pedestrian Crossings for Driving Assistance Systems | |
| Xu, Yanwu1; Xu, Dong1; Lin, Stephen2; Han, Tony X.3; Cao, Xianbin4; Li, Xuelong5 | |
| 作者部门 | 光学影像分析与学习中心 |
| 2012-06-01 | |
| 发表期刊 | IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
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| ISSN | 1083-4419 |
| 卷号 | 42期号:3页码:729-739 |
| 产权排序 | 5 |
| 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. |
| 文章类型 | Article |
| 关键词 | Coarse To Fine Pedestrian Detection Performance Evaluation Spatiotemporal Refinement Sudden Pedestrian Crossing |
| 学科领域 | Automation & Control Systems |
| WOS标题词 | Science & Technology ; Technology |
| DOI | 10.1109/TSMCB.2011.2175726 |
| 收录类别 | SCI ; EI |
| 关键词[WOS] | OBJECT TRACKING ; CLASSIFICATION ; FEATURES ; SURVEILLANCE ; MOTION ; GAIT ; SEGMENTATION ; RECOGNITION ; PATTERNS ; SCENES |
| 语种 | 英语 |
| WOS研究方向 | Automation & Control Systems ; Computer Science |
| WOS类目 | Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics |
| WOS记录号 | WOS:000304163200012 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/20264 |
| 专题 | 光谱成像技术研究室 |
| 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. |
| 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 | ||
| Detection of Sudden （1253KB） | 期刊论文 | 出版稿 | 限制开放 | CC BY | 请求全文 | |
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