Abstract
Preceding vehicle tracking is an important task in vision-based automatic guidance system. In this thesis, we propose a method to solve the problem which is including region of interest (i.e. ROI) detection, vehicle footprint extraction, and vehicle bounding box extraction. After extracting the preceding vehicle, we effectively track the vehicles, and detect the passing car and distant car. Here, we also propose the distance measure formula. Through camera calibration process and vanishing point detection process, the formula can calculate the distance to the preceding vehicle accurately. Finally, we classify the type of the preceding vehicle. Finally, based on distance and the type of the tracked vehicle, our system may provide a valuable traffic information for the driver.