关键词: 车辆识别, 图像质量, 高斯拟合, 熵权法

Abstract: In view of the problem of obtaining the best threshold in vehicle recognition system, this paper presents a dynamic adaptive threshold method for vehicle recognition based on current research. This method firstly uses the image quality equalization algorithm based on entropy weight method to calculate the equalization of background image in traffic video. Secondly, the method obtains the best threshold of vehicle recognition by using?polynomial fitting. Thirdly, the method makes Gaussian fitting between the equalization of background image and the best threshold of   vehicle samples to get an adaptive threshold calculation model. The system updates the background image and calculates the equalization of background image real time. Then the system inputs the image equalization to the adaptive threshold calculation model and gets the best threshold of real-time vehicle recognition. The experimental results and theoretical analysis show that the method realizes the adaptive update of vehicle recognition according to the dynamic environment, and improves the accuracy of vehicle recognition in different environments.

Key words: vehicle recognition, image quality, Gaussian fitting, entropy weight method