基于Hough变换检测前大灯的夜间车辆检测

A Nighttime Vehicle Detection Method using Hough Transform to Detect Headlights

针对夜间车辆检测与昼间车辆检测的不同,提出一种基于Hough圆检测的夜间车辆检测方法。首先利用灰度分割的方式提取车灯,对提取出的车灯进行连通域分析和边缘提取;然后进行Hough圆检测,得到车灯的半径和位置;最后利用车灯成对出现的特点,对车灯进行匹配确定车辆位置。实验结果表明,该算法对于夜间车辆检测检测率高,且虚警低。

Aiming at the difference of nighttime vehicle detection and daytime vehicle detection, a nighttime vehicle detection method based on Hough circle detection is presented. First, extract the lamp using gray segmentation method, and carry on the connected domain analysis and edge extraction to extract the headlights; then use Hough circle detection to obtain the radius and position lights of the headlights; finally using the characteristics of lights appear in pairs, the lights are matched to determine the vehicle position. Experimental results show that this nighttime vehicle detection method has high detection rate and low false alarm.