Connectionists: DATA: DC pedestrian classification benchmark

Wed Oct 25 05:00:40 EDT 2006

Dear Moderator,

could you kindly post below announcement to the Connectionists mailing list?

Many thanks,

Prof. Dr. Dariu M. Gavrila
Machine Perception, REI/AI
DaimlerChrysler Research & Technology,
Wilhelm Runge St. 11, 89081 Ulm, Germany
Email: [first-name].[last-name]@daimlerchrysler.com
Phone: +49 731 505 2388, Fax: +49 731 505 4105

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DAIMLERCHRYSLER PEDESTRIAN CLASSIFICATION BENCHMARK

As part of the publication

S. Munder and D. M. Gavrila,
"An Experimental Study on Pedestrian Classification,"
IEEE Trans. on Pattern Analysis and Machine Intelligence,
vol.28, no.11, pp.1863-1868, 2006,

we are making a large set of pedestrian and non-pedestrian
images available for non-commercial, research purposes.
The aim is to advance research on pedestrian (object) classification
by allowing comparison of various approaches (including neural
computations) on a common data set.

The so-called DaimlerChrysler (DC) pedestrian classification
benchmark contains a base set of 4000 pedestrian- and
5000 non-pedestrian samples cut out from video images and
scaled to common size of 18x36 pixels. The benchmark furthermore
contains a collection of 1200 video images not containing any
pedestrians, for optional bootstrapping approaches.

The DC pedestrian classfication benchmark is available at:

http://www.science.uva.nl/research/isla/dc-ped-class-benchmark.html

For more information on the pedestrian detection application, see

http://www.gavrila.net/Computer_Vision/Research/Pedestrian_Detection/pedestrian_detection.html

Feedback is welcome.
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