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

Authors:
Hui Sun;Chengying Hua;Yupin Luo
Affiliations:
Tsinghua University;Tsinghua University;Tsinghua University
Venue:
ICIG '04 Proceedings of the Third International Conference on Image and Graphics
Year:
2004

Citing 0
Cited 2

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Performance analysis of pedestrian detection at night time with different classifiers

ADCONS'11 Proceedings of the 2011 international conference on Advanced Computing, Networking and Security

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Abstract

This 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. Especially in the final stage, a classifier based on 2D pedestrian shape model is designed to make decision. And the speed of detection can be accelerated due to the multi-stage strategy. The experiment shows our method is promising.