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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
Improving pedestrian detection using MPEG-7 descriptors
H. Lietz1, M. Ritter2, R. Manthey2, and G. Wanielik1 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.
Citation: Lietz, H., Ritter, M., Manthey, R., and Wanielik, G.: Improving pedestrian detection using MPEG-7 descriptors, Adv. Radio Sci., 11, 101-105, https://doi.org/10.5194/ars-11-101-2013, 2013.
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