基于红外摄像机的车辆检测算法的研究与实现

In the study of video surveillance and moving target detection,vehicle detection is an important part. The goal of vehicle detection is to gather the information，then you can count the vehicle, detect vehicle reverse driving, and illegal parking. The research is basically based on the day. Due to the weak light, many methods cannot be applied at night. This paper study the method to improve the detection accuracy at night based on infrared cameras, improve the existing vehicle recognition algorithms. Experiments show that this method can achieve a higher accuracy of vehicle detection interfered by climate, light and complex background at night.