Title :
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
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;
Conference_Titel :
Intelligent Vehicles Symposium, 2006 IEEE
Conference_Location :
Tokyo
Print_ISBN :
4-901122-86-X
DOI :
10.1109/IVS.2006.1689629
