Nighttime Vehicle Detection Algorithm Based on Brightness Cumulative Histogram

In order to improve the vehicle detection accuracy in the nighttime environment,a vehicle detection algorithm based on brightness cumulative histogram is proposed,which detects from the front vehicles via the highlight feature of the taillights.The initial threshold of Otsu method is obtained from a number of taillights statistical information.The bright objects are extracted from images,based on the improved Otsu method in brightness cumulative histogram.The characteristics such as the shape,position and color of taillights are combined to select and pair them.The front vehicles can be detected by the paired taillights.Experimental results demonstrate the accuracy of the proposed approach on taillights segmentation,and demonstrate the effectiveness and robustness of the approach on vehicle detection at night.