Design And Implementation Of Expressway Traffic Anomaly Recognition System Based On 3D Stereovision

To meet the public demand of safe,convenient,personalized and qualified travel,the expressway of our country must build a intelligent platform for management and service.It can help enhance the ability of managers to implement emergency disposal,road network condition is visible,measurable,controllable,reached number,drop further traffic illegal troubleshooting clear numbers,the traffic accident statistics and traffic accident deaths,so as to further enhance the level of highway service,ensure that the ultimate goal of highway safety and smooth.This project is aiming at the shortcomings of the established highway whole-course monitoring system in detecting traffic abnormalities actively and monitoring accuracy of video incidentsSystem,structure an intelligent recognition system of highway traffic anomalies based on three-dimensional stereo vision.The main work of this paper is as follows:(1)Through the demand and development trend of intelligent identification of traffic anomalies on expressway are analyzed in detail.We confirmed the system need to overcome the shortcomings of small detection range,high false alarm rate and vulnerability to external factors,and we need to provide high accuracy,high accuracy and low false alarm rate of highway traffic anomaly recognition effect.(2)The hardware structure and software function modules of the system are designed,and the camera control module,image synchronization acquisition module,image preprocessing module,image analysis module,video storage module and other functional modules are designed and implemented in detail.(3)The system is tested and analyzed,and the validity of the system design is verified by testing different detection modes in different detection intervals under multi-precision mode.