计算机应用与软件2018，Vol.35Issue(1)：246-252,7.DOI:10.3969/j.issn.1000-386x.2018.01.043
基于运动目标轨迹的高速公路异常事件检测算法研究
TRAFFIC ANOMALY DETECTION BASED ON MOVING OBJECT TRAJECTORY
摘要
Abstract
Aiming at the disadvantages of judging abnormal events by manual video recording on freeway,such as high labor intensity and low work efficiency,this paper proposed the algorithm of anomaly event detection algorithm based on vehicle motion trajectory.In this paper,the background subtraction method was used to extract the foreground of moving object.For the moving object with shadow,the shadow was removed by the algorithm based on the combination of edge detection and HSV color space.Kalman filter algorithm was used to track the moving target and get the trajectory of the vehicle.Finally,the abnormal event model was established by analyzing the running state of the vehicle,and the actual highway video was used to verify the correctness of the abnormal event detection model.The experimental results showed that the proposed new shadow removal algorithm could effectively eliminate the shadow and abnormal event detection model could effectively detect retrograde,parking vehicles,high accuracy and good practicality.关键词
异常事件/高速公路/背景差法/边缘检测/HSV/阴影去除/kalman滤波/车辆轨迹Key words
Abnormal events/Highway/Background subtraction method/Edge detection/HSV/Shadow removal/Kalman filter/Trajectory of the vehicle分类
信息技术与安全科学引用本文复制引用
隋靓,党建武..基于运动目标轨迹的高速公路异常事件检测算法研究[J].计算机应用与软件,2018,35(1):246-252,7.基金项目
国家自然科学基金项目(61162016) （61162016）
甘肃省自然科学基金项目(145RJZA080). （145RJZA080）
