Nighttime vehicle detection is an essential problem to be solved in the development of highway surveillance systems that
provide information about the vehicle speed, traffic volume, and traffic jams, and so on. In this paper, a novel downhill
simplex approach for vehicle headlights detection is presented. In the proposed approach, a rough position of vehicle
headlights is detected first. Then, a downhill simplex optimization approach is adopted to find the accurate location of
vehicle headlights. For the optimization process, a novel cost function is designed and various headlights are evaluated
for possible headlight positions on the detected vehicles, locating an optimal headlight position. Simulation results are
provided to show the robustness of the proposed approach for headlights detection.
This paper proposed a digital watermarking method using a two-dimensional bar code. In general, one-dimensional bar code was just a key that can access detailed information to the host computer database. But a two-dimensional bar code is a new technology capable of holding relatively large amounts of data compared to the conventional one-dimensional bar code. The study used Data Matrix that is the most widely used among the many kinds of two-dimensional bar code. The experimental results show a similarity of the embedded and extracted two-dimensional watermark.