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  4. A configurable architecture for the generalized hough transform applied to the analysis of huge aerial images and to traffic sign detection
 
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2016
  • Konferenzbeitrag

Titel

A configurable architecture for the generalized hough transform applied to the analysis of huge aerial images and to traffic sign detection

Abstract
Object recognition in huge image data sets or in live camera images at interactive frame rates is a very demanding task, especially within embedded systems. The recognition task includes the localization of a reference object and its rotation and scaling in a search image. The Generalized Hough Transform (GHT) is known as a powerful and robust technique to support this task by transforming the search image into a 4D parameter space. However, the GHT itself is very complex and demanding towards computational power and memory consumption. This paper presents a novel hardware architecture to perform a complete 4D GHT at interactive frame rates in an FPGA. The architecture is configurable in order to allow a trade-off between performance, accuracy and hardware usage. The proposed architecture has been implemented in a low-cost Zynq-7000 FPGA and successfully evaluated in two practical applications, namely groyne detection in aerial images and traffic sign detection.
Author(s)
Kiefer, Gundolf
Univ. of Applied Sciences Augsburg
Vahl, Matthias
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Sarcher, Julian
Univ. of Applied Sciences Augsburg
Schäferling, Michael
Univ. of Applied Sciences Augsburg
Hauptwerk
International Conference on ReConFigurable Computing and FPGAs, ReConFig 2016
Konferenz
International Conference on ReConFigurable Computing and FPGAs (ReConFig) 2016
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DOI
10.1109/ReConFig.2016.7857143
Language
Englisch
google-scholar
IGD
IGD-R
Tags
  • field-programmable ga...

  • object recognition

  • computer vision

  • aerial images

  • detection

  • Lead Topic: Digitized...

  • Research Line: Comput...

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