Study on the Methods of Automatic Incident Detection based on the Video Vehicle Trajectory Model
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Study on the Methods of Automatic Incident Detection based on the Video Vehicle Trajectory Model
Acta Scientiarum Naturalium Universitatis SunYatseniVol. 50, Issue 4, Pages: 56-60(2011)
作者机构:
中山大学智能交通研究中心∥广东省智能交通系统重点实验室,广东,广州,510275
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Published:2011,
Published Online:25 July 2011,
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ZHAO Youting, LI Xiying, LUO Donghua. Study on the Methods of Automatic Incident Detection based on the Video Vehicle Trajectory Model. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 50(4):56-60(2011)
DOI:
ZHAO Youting, LI Xiying, LUO Donghua. Study on the Methods of Automatic Incident Detection based on the Video Vehicle Trajectory Model. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 50(4):56-60(2011)DOI:
Study on the Methods of Automatic Incident Detection based on the Video Vehicle Trajectory Model
Five dangerous traffic incidents including vehicle retrograding
parking
turning round
reversing
and changing lanes are studied.Object detection
vehicle tracking
incident apprehension and description are used to detect incident automatically based on video. The great emphasis is placed on analyses and researches of the vehicles tracking trajectory. Complicated vehicle trajectory is separated into four elements: ahead
backward
stop
and left or right; then vehicle behavior model is built to analyze vehicles motion based on them. Finally
reasonable algorithms to detect above five traffic incidents are proposed. Experiments show that the normal and the abnormal vehicles can be distinguished
and the five traffic incidents can be detected quickly and effectively by the algorithms.
关键词
交通事件检测目标提取车辆跟踪车辆行驶行为模型
Keywords
traffic incident detectionobject detectionvehicle trackingvehicle behavior model