Haar-Like features with Optimally Weighted Rectangles for Rapid Object Detection Articles uri icon

publication date

  • January 2010

start page

  • 160

end page

  • 172

issue

  • 1

volume

  • 43

international standard serial number (ISSN)

  • 0031-3203

abstract

  • This article proposes an extension of Haar-like features for their use in rapid object detection systems. These features differ from the traditional ones in that their rectangles are assigned optimal weights
    so as to maximize their ability to discriminate objects from clutter
    (non-objects). These features maintain the simplicity of evaluation of
    the traditional formulation while being more discriminative. The
    proposed features were trained to detect two types of objects: human
    frontal faces and human heart regions. Our experimental results suggest
    that the object detectors based on the proposed features are more
    accurate and faster than the object detectors built with traditional
    Haar-like features.