The histogram feature - a resource-efficient Weak Classifier

  title={The histogram feature - a resource-efficient Weak Classifier},
  author={Niklas Pettersson and Lars Petersson and Leif Andersson},
  journal={2008 IEEE Intelligent Vehicles Symposium},
This paper presents a Weak Classifier that is extremely fast to compute, yet highly discriminant. This Weak Classifier may be used in, for example, a boosting framework and is the result of a novel way of organizing and evaluating Histograms of Oriented Gradients. The method requires only one access to main memory to evaluate each feature, in comparison with the more well-known Haar features which require somewhere between six and nine memory accesses to evaluate each feature. This low memory… CONTINUE READING
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