Pedestrian Detection using Infrared images and Histograms of Oriented Gradients

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...

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Bibliographic Details
Published in2006 IEEE Intelligent Vehicles Symposium pp. 206 - 212
Main Authors Suard, F., Rakotomamonjy, A., Bensrhair, A., Broggi, A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2006
Subjects
Histograms
Image processing
Infrared detectors
Infrared imaging
Machine learning
Support vector machine classification
Support vector machines
Testing
Vehicle detection
Vehicle safety
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ISBN490112286X
9784901122863
ISSN1931-0587
DOI10.1109/IVS.2006.1689629

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Summary: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
ISBN:490112286X
9784901122863
ISSN:1931-0587
DOI:10.1109/IVS.2006.1689629