Vehicle speed estimation using image processing

This paper aims at determining vehicle speed which is necessary for traffic surveillance systems. These systems are very much useful to monitor and manage various traffic conditions such as traffic management, prevention of accident, also secure transportation. This paper describes a comprehensive approach to localizing target vehicles in video under various environmental conditions. The extracted geometry features from the video are continuously projected onto a profile and are constantly tracked. We rely on temporal information of features and their motion behaviors for vehicle identification, which compensates for the complexity in recognizing vehicle shapes, colors, and types. In speed determination vehicle detection and vehicle tracking are the key steps. To overcome the disadvantages of traditional methods, here, vehicle speed determination using image processing is done with Python language and OpenCV library. In this paper, the proposed method consists of few basic steps - background subtractions, feature extraction, vehicle tracking etc. The speed is determined using distance travelled by vehicle over number of frames and frame rate