CASIA OpenIR  > 09年以前成果
Traffic accident prediction using 3-D model-based vehicle tracking
Hu, WM; Xiao, XJ; Xie, D; Tan, TN; Maybank, S
2004-05-01
专利类型Article
摘要Intelligent visual surveillance for road vehicles is the key to developing autonomous intelligent traffic systems. Recently, traffic incident detection employing computer vision and image processing has attracted much attention. In this paper, a probabilistic model for predicting traffic accidents using three-dimensional (3-D) model-based vehicle tracking is proposed. Sample data including motion trajectories are first obtained by 3-D model-based vehicle tracking. A fuzzy self-organizing neural network algorithm is then applied to learn activity patterns from the sample trajectories. Finally, vehicle activity is predicted by locating and matching each partial trajectory with the learned activity patterns, and the occurrence probability of a traffic accident is determined. Experiments show the effectiveness of the proposed algorithms.
关键词Activity Patterns Prediction Of Traffic Accidents Three-dimensional (3-d) Model-based Vehicle Tracking
语种英语
WOS研究方向Engineering ; Telecommunications ; Transportation
WOS类目Engineering, Electrical & Electronic ; Telecommunications ; Transportation Science & Technology
WOS记录号WOS:000221517200012
引用统计
被引频次:95[WOS]   [WOS记录]     [WOS相关记录]
文献类型专利
条目标识符http://ir.ia.ac.cn/handle/173211/7989
专题09年以前成果
作者单位1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
2.Univ London Birkbeck Coll, Sch Comp Sci & Informat Syst, London WC1E 7HX, England
推荐引用方式
GB/T 7714
Hu, WM,Xiao, XJ,Xie, D,et al. Traffic accident prediction using 3-D model-based vehicle tracking[P]. 2004-05-01.
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