PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Pedestrian Detection using Infrared images and Histograms of Oriented Gradients
Frédéric Suard, Alain Rakotomamonjy, Aziz Bensrhair and Alberto Broggi
In: IEEE Symposium on Intelligent Vehicule, Japan(2006).


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

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EPrint Type:Conference or Workshop Item (Oral)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
ID Code:2884
Deposited By:Alain Rakotomamonjy
Deposited On:23 November 2006