Pedestrian Detection in Nighttime Driving

Abstract

This paper presents an approach for pedestrian detection in the nighttime driving with a normal camera. Bright objects in the video are extracted with an adaptive thresholding segmentation algorithm. Then, the size, position, and shape of each object are analyzed to judge whether it is a pedestrian. A tracking module is used to verify the result at last. Experimental results show that the proposed method can detect 71.26% pedestrians.