Pedestrian Detection using Infrared images and Histograms of Oriented Gradients

Author

Suard, F. ; Rakotomamonjy, A. ; Bensrhair, A. ; Broggi, A.

Author_Institution

Centre Nat. de la recherche scientifique, INSA Rouen, Saint Etienne

fYear

0

fDate

0-0 0

Firstpage

206

Lastpage

212

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

Keywords

image classification; infrared imaging; object detection; stereo image processing; support vector machines; traffic engineering computing; image descriptor; oriented gradients; pedestrian detection; stereo infrared images; support vector machine classifier; video sequence; window classification; Histograms; Image processing; Infrared detectors; Infrared imaging; Machine learning; Support vector machine classification; Support vector machines; Testing; Vehicle detection; Vehicle safety;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Vehicles Symposium, 2006 IEEE

Conference_Location

Tokyo

Print_ISBN

4-901122-86-X

Type

conf

DOI

10.1109/IVS.2006.1689629

Filename

1689629