Street Detection with Asymmetric Haar Features

  • Geovany A. Ramirez
  • Olac Fuentes
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7441)


We present a system for object detection applied to street detection in satellite images. Our system is based on asymmetric Haar features. Asymmetric Haar features provide a rich feature space, which allows to build classifiers that are accurate and much simpler than those obtained with other features. The extremely large parameter space of potential features is explored using a genetic algorithm. Our system uses specialized detectors in different street orientations that are built using AdaBoost and the C4.5 rule induction algorithm. Experimental results show that Asymmetric Haar features are better than basic Haar features for street detection.


Object Detection Asymmetric Haar Features Machine Learning Street Detection 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Geovany A. Ramirez
    • 1
  • Olac Fuentes
    • 1
  1. 1.Computer Science DepartmentUniversity of Texas at El PasoUSA

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