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Advances in Radio Science An open-access journal of the U.R.S.I. Landesausschuss in der Bundesrepublik Deutschland e.V.
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Volume 11
Adv. Radio Sci., 11, 101–105, 2013
https://doi.org/10.5194/ars-11-101-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
Adv. Radio Sci., 11, 101–105, 2013
https://doi.org/10.5194/ars-11-101-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

  04 Jul 2013

04 Jul 2013

Improving pedestrian detection using MPEG-7 descriptors

H. Lietz1, M. Ritter2, R. Manthey2, and G. Wanielik1 H. Lietz et al.
  • 1Chemnitz University of Technology, Professorship on Communications Engineering, Reichenhainer Straße 70, 09126 Chemnitz, Germany
  • 2Chemnitz University of Technology, Chair Media Informatics, Straße der Nationen 62, 09111 Chemnitz, Germany

Abstract. During the last decade, modern Pedestrian Detection Systems made massive use of the steadily growing numbers of high-performance image acquisition sensors. Within our naturalistic driving environment, a lot of different and heterogeneous scenes occur that are caused by varying illumination and weather conditions. Unfortunately, current systems do not work properly under these hardened conditions. The aim of this article is to investigate and evaluate observed video scenes from an open source dataset by using various image features in order to create a basis for robust and more accurate object detection.

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