Research On Vehicle Object Extraction And Velocity Measurement Based On Monocular Video

With the increment of people’s incoming, the process of national high way network construction is also rapidly develop. People feel more and more convenience in traffic. However, in order to keep the high way order, protect people’s life and property security, high way traffic administration face a big challenge. Since the Inteligence Traffic System appears, greatly reducing the traffic control department of manpower, reduce the difficulty of enforcement, improve processing efficiency violation accident. The machine vision technology as the support of intelligent transportation system, become one of the hotspot of research.The content of this paper is the prophase work of distributed video vehicle unified spatiotemporal Association retrieval, provide materials for vehicle identification, the back of the same temporal and spatial correlation analysis. The research contents of this paper are as follows:1The establishment of road model. According to the different situation of highway bayonet, and road conditions, establish the corresponding road model. Model data is very important information in each stage of the vehicle identity spatiotemporal Association retrieval.2Extract the vehicle object from the video. Using the modeling method based on mixed Gaussian background model from the highway video to extract vehicle objects, including the shadow elimination. The purpose is to make the vehicle object extraction to meet the following requirements of feature extraction.3Tracking of moving vehicles. Using the improved optical flow based on image Pyramid Lucas-kanade to track vehicle, obtain its trajectory, preparing for the vehicle speed determination.4Vehicle speed measurement based on video. Using the speed measurement method of vehicle based on highway lane. The experimental results show that the method is simple, accurate.