A Multi-Stage Classifier Based Algorithm of Pedestrian Detection in Night with a Near Infrared Camera in a Moving Car

Abstract

The paper presents an algorithm of pedestrian detection in night using a near infrared camera which is installed in a moving car. To deal with several kinds of primary disturbances in the road, we adopt a multi-stage classifier which eliminates certain kinds of disturbances in every stage. In the final stage, a classifier based on 2D pedestrian shape model is especially designed to make decision. The speed of detection can be accelerated due to the multi-stage strategy. The experiment shows our method is promising.