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Shape Based Round Object Detection Using Edge Orientation Histogram

  • Hamid Mobalegh
  • Lovísa Irpa Helgadóttir
  • Raúl Rojas
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8371)

Abstract

In this paper we introduce a shape based method to globally detect the ball in a RoboCup soccer scenario. The method can be used for any round object with detectable edges. The concept of integral images presented in Viola & Jones 2001, is used, however the integration is applied to a vector representation of the gradient orientation histogram of each pixel. The method takes advantage from the fact that large areas of the image can be filtered out, as these are only covered by straight edges. An overlapped binary search quickly reduces the search area and locates ball candidates in the image. The candidates are finally selected using an outlier elimination technique.

Keywords

Gradient Vector Integral Image Edge Orientation Soccer Robot Orientation Histogram 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Hamid Mobalegh
    • 1
  • Lovísa Irpa Helgadóttir
    • 1
  • Raúl Rojas
    • 1
  1. 1.Institut für InformatikFreie Universität BerlinGermany

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