An Enumeration Method Applied in Intelligent Transportation System

Abstract

Traditional approaches for some applications of Intelligent Transportation System(ITS), such as license plate tilt correction and vehicle speed estimation generally require feature extraction, however, feature extraction is a difficult task in complex traffic environment, and it is prone to be affected by the moving status of object and dynamic environment. In this paper, we tried a new analysis method without feature extraction for these two applications. The approach is based on enumeration. All the possible results of image analysis are tested by the testing function. Then, the extreme value of the testing function is selected and the corresponding result is just the concerning result. In the experiment, our method is applied to vehicle license plate tilt correction and vehicle speed estimation. The results demonstrate the proposed method has certain degree of robustness and validity.