Abstract
We propose a robust car detecting and tracking system for bad weather conditions. The target scene of the system is highway scenes taken from the camera mounted in a car. The system is consisted of three main processes: car candidate area detection, car candidate area varification, and car tracking process. In the car candidate area detection process, image enhancement method is judged automatically to be added or not before edge detection, which is shown to improve the candidate detection precision in bad weather conditions. In the car candidate area varification process, both the grey level and time sequence information, and in the car tracking process both the edge and grey-level information, are combined to improve the robustness of the system in bad weather conditions. The system runs at a rate of 15 frames/sec using a PC with the IMAP-VISION realtime image processing board installed in the PCI bus. Encouraging results have been obtained through experiments using highway database scenes.
