现代交通技术2012，Vol.9Issue(1)：60-63,4.
基于视频的城市快速路车辆异常行为检测
Video Based Vehicle Abnormal Behavior Detection for Urban Expressway
摘要
Abstract
A novel conception of virtual sensor is propesed for video based urban expressway monitoring system. Compared with traditional cameras,the new intelligent video sensor can carry out vehicle tracking and abnormal behavior detection. Abnormal detection algorithm finishes abnormal trajectories detection by probability model after training of self-organizing neural network using spatiotemporal trajectories data. The proposed algorithms are effectively running on the embedded DM642 video processing platform and feasible for robust detection of extra low or high speeding vehicles,illegal parking and illegal turning with low computational cost.关键词
视濒监控/智能摄像机/行为理解/自组织神经网络Key words
video surveillance/intelligent camera/behavior understanding/self-organizing neural network分类
交通工程引用本文复制引用
蔡英凤,张为公,王海..基于视频的城市快速路车辆异常行为检测[J].现代交通技术,2012,9(1):60-63,4.基金项目
基金项目：“十一五”国家科技支撑计划项目 （）
江苏省自然科学基金 （）
江苏省交通科学研究资助项目 （）
