Best Paper 2008
The U.V. Helava Award, sponsored by Elsevier B.V.and Leica Geosystems AG, is a prestigious ISPRS
Award, which was established in 1996 to encourage and stimulate submission of high quality scientific papers by
individual authors or groups to the ISPRS Journal, to promote and advertise the Journal, and to honour the
outstanding contributions of Dr. Uuno V. Helava to research and development in Photogrammetry and
Remote Sensing.
The Award is presented to authors of the best paper, written in English and published exclusively in the
ISPRS Journal during the four-year period from January of a Congress year, to December of the year prior to the
next Congress. The Award consists of a monetary grant of SFr. 10,000 and a plaque. A five-member jury,
comprising experts of high scientific standing, whose expertise covers the main topics included in the scope of
the Journal, evaluates the papers. For each year of the four-year evaluation period, the best paper is selected,
and among these four papers, the one to receive the U.V. Helava Award.
The third U.V. Helava Award will be presented at the 22th ISPRS Congress, Melbourne, 25 August-1
September 2012. The five-member jury appointed by the ISPRS Council evaluated the 48 papers of volume 63
(2008) and announced its decision for the Best Paper.
The winner of the 2008 Best Paper is:
″On-line boosting-based car detection from aerial images″
by Helmut Grabner1, Thuy Thi Nguyen2, Barbara Gruber3 and Horst Bischof2
(1) Computer Vision Laboratory, ETH Zurich, Switzerland
(2) Institute for Computer Graphics and Vision, University of Technology, Graz, Austria
(3) VRVis Research Center for Virtual Reality and Visualization, Graz, Austria
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Helmut Grabner |
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Thuy Thi Nguyen |
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Barbara Gruber |
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Horst Bischof |
Jury's rationale for the paper selection
The well organised paper provides an easy to read
description of an efficient framework for car detection in
very high resolution aerial images. The authors introduce
a state-of-the-art machine learning technique (Ada-boost)
for their application and included the possibility for online
learning. The algorithm based on implicit
appearance-based models was described convincingly.
Results of tests on experimental data were shown to be
very promising.
On behalf of the ISPRS and the U.V. Helava Award
jury, I would like to congratulate the authors for this
distinction and thank them for their contribution. I would
also like to thank the sponsors of the Award, and the jury
members for their thorough evaluations.
George Vosselman
Editor-in-Chief
ISPRS Journal of Photogrammetry and Remote Sensing
ITC, University of Twente, Enschede, the Netherlands