Research On The Detection Of Image-based Vehicle Red-light Violation

With the rapid development of the economy and the general improvement of people's living standards,nowadays,more and more vehicles are on the road and more and more families generally use cars as vehicles.Due to the large population,the popularity of vehicles has brought us many problems.In order to solve the cumbersome problem of traffic supervision,in order to better manage and operate the vehicles on the road,the safe driving of the vehicle has been more widely concerned,resulting in the Intelligent Transportation System(ITS).More and more researchers have proposed image-based vehicle red light violation identification system for adjustment and detection.Intelligent transportation system is the application of computer technology and electronic information technology.It is a key high-tech industry in China.The vehicle detection system,also known as the Intelligent Traffic Detection System(ITS),is an application system that combines multiple technologies and applies them in the transportation field to realize modern intelligent information management,which is used to realize modern traffic intelligent management.Through the wide application of ITS,the road capacity can be improved,and the economic and social benefits that benefit people's lives can be brought about.With the development of science and technology,the image-based vehicle red light violation identification system has gradually emerged.Through the efficient use of computer digital image processing technology,the maintenance and effect of the traffic detection system have been significantly improved.The detection of red light violations is one of the key technologies in intelligent transportation systems.According to the practice of intersections and the characteristics of red lights running on vehicles,this paper studies the identification and detection of violations of images based on image red lights.The structure,technology and function of the image recognition vehicle red light violation identification system.This paper mainly studies the detection method of vehicle red light violation,and completes the detection of the red light behavior of illegal vehicles by collecting the target image,preprocessing the target image,extracting themoving target,and identifying the violation behavior.Its main work content is divided into the following aspects:(1)Preprocessing the image,we use grayscale transformation,histogram transformation,and sharpening and smoothing denoising processing.The noise and distortion of the image are eliminated,and the preparation for the next step is prepared.(2)The image is then binarized,the image is enhanced,the image is segmented,and the image is edge-detected.Through binarization,we can simplify the image,making it a simple foreground and background,removing unnecessary information and retaining only the information we need.(3)In this paper,the target detection algorithm based on three-frame difference method is used instead of the traditional two-frame difference method to enhance the anti-noise ability of the picture,so that the image has clearer contour and foreground target.(4)Finally,we can achieve the detection of violation behavior by using the k-means clustering algorithm that divides the road segmentation idea.The main goal of this paper is to obtain an effective vehicle detection algorithm with high recognition rate.By using the detection algorithm proposed in this paper,we can complete the detection of vehicle red light violation identification conveniently,simply,effectively and accurately.The experimental results show that the algorithm not only meets the real-time requirements,but also can detect red light violations with high precision.It is superior to traditional detection methods in terms of function and maintenance.