@InProceedings{YainuvisSocarras2013,
author="Yainuvis Socarras
and Sebastian Ramos
and David Vazquez
and Antonio Lopez
and Theo Gevers",
title="Adapting Pedestrian Detection from Synthetic to Far Infrared Images",
booktitle="ICCV Workshop on Visual Domain Adaptation and Dataset Bias",
year="2013",
address="Sydney, Australy",
optkeywords="Domain Adaptation",
optkeywords="Far Infrared",
optkeywords="Pedestrian Detection",
abstract="We present different techniques to adapt a pedestrian classifier trained with synthetic images and the corresponding automatically generated annotations to operate with far infrared (FIR) images. The information contained in this kind of images allow us to develop a robust pedestrian detector invariant to extreme illumination changes.",
optnote="ADAS; 600.054; 600.055; 600.057; 601.217;ISE",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2334), last updated on Thu, 10 Nov 2016 12:25:44 +0100",
file=":http://refbase.cvc.uab.es/files/srv2013.pdf:PDF",
language="English"
}