Intelligent Vehicles Symposium 13-15 juin 2006, Tokyo, Japon

Abstract This paper presents a complete method for pedestrian detection applied to infrared images. First, we study an image descriptor based on histograms of oriented gradients (HOG), associated with a Support Vector Machine (SVM) classifier and evaluate its efficiency. After having tuned the HOG descriptor and the classifier, we include this method in a complete system, which deals with stereo infrared images. This approach gives good results for window classification, and a preliminary test applied on a video sequence proves that this approach is very promising.

author = {Frédéric Suard and Alain Rakotomamonjy and Abdelaziz Bensrhair and Alberto Broggi},
title = {Pedestrian Detection using Infrared images and Histograms of Oriented Gradients},
booktitle = {Intelligent Vehicles Symposium, Tokyo, Japan},
year = {2006},
month = {June},
pages = {206--212},}