在隧道场景下，车辆灯光的干扰对车辆目标的准确提取产生严重的影响，而现有方法对此尚缺乏针对性的解决方案． 为此，文中提出了一种基于灯光梯度特征的灯光干扰抑制方法，根据光照辐射特性以及隧道空间位置关系，建立了车辆光照区域的光强模型并构造其梯度函数，进而利用光照区域梯度方向不变特性，筛选出非车辆灯光区域并构造前景掩膜，最后与运动目标前景叠加，实现光照干扰的抑制． 实验结果表明，该方法能有效地抑制车辆灯光干扰，提高车辆目标识别的准确性．

In tunnel scenes,the interference from vehicle light has a strong impact on the accurate extraction of vehicle targets.However,in the existing methods,there is no solution to this problem.Therefore,a suppression method of vehicle light interference is proposed on the basis of light gradient features,and according to the optical radiation and space structure features,a light intensity model of vehicle light illumination on roads and its vehicle light gradient function are constructed.Furthermore,by utilizing the invariance of gradient directions of vehicle light illumination on roads,the non-vehicle light illumination area is screened and a foreground mask is made.Fi- nally,the foreground mask is overlaid with the moving target foreground,thus suppressing the vehicle light Interfe- rence.Experimental results show that the proposed method can effectively suppress the vehicle light interference,and thus improve the extraction accuracy of vehicle targets.