Research On Vehicle Intelligent Monitoring Technology Based On Video Analysis

There are a large amount of video data in the video surveillance system in the field of road traffic supervision in China.The video surveillance data is often used for manual inspection which consumes a lot of human resources and is inefficient.Unusual traffic incidents can not be detected and processed in time,causing abnormal traffic incidents to generate more serious traffic accidents,which ultimately leads to a sharp rise in road traffic pressure affecting normal traffic order.Abnormal traffic incidents have become the main factors affecting normal road traffic.In abnormal traffic events,the normal driving area parking and regional congestion events occur frequently.Therefore,it is of great significance to improve the efficiency of supervision and alleviate the increasingly serious road traffic supervision pressure by studying the intelligent monitoring technology based on video analysis.In view of the increasingly severe development situation of road traffic supervision in China,combined with the actual situation of road traffic supervision,this paper uses the rich video resources in the current traffic supervision system to construct real-time video monitoring algorithm to measure traffic data and analyze traffic events.Thereby,a technology for real-time vehicle detection and traffic condition monitoring from a video perspective is realized.The target detection algorithm is optimized and adjusted according to the actual application scenario to improve the accuracy and execution efficiency of the detection algorithm.The real-time video monitoring algorithm integrates target detection,target tracking,traffic data calculation,traffic event analysis and other processing technologies.It realizes real-time monitoring of road traffic through video analysis.The real-time video monitoring technology is used to construct the vehicle intelligent monitoring system.The system can analyze the vehicle running state and the regional traffic state in the monitoring area,detect and identify the abnormal traffic state and provide early warning prompts to realize the traffic state monitoring of themonitoring road section at full time.The system get.good detection and recognition results on video scenes such as angle tilt,backlight,fog,and occlusion.The average detection accuracy is higher than 96.15%,and the measured vehicle speed error is less than 10%.The effectiveness of real-time video monitoring technology in practical application scenarios is verified by the actual application scenario video tests.