Fast and Robust Face Detection Using Evolutionary Pruning

  title={Fast and Robust Face Detection Using Evolutionary Pruning},
  author={Jun-Su Jang and Jong-Hwan Kim},
  journal={IEEE Transactions on Evolutionary Computation},
Face detection task can be considered as a classifier training problem. Finding the parameters of the classifier model by using training data is a complex process. To solve such a complex problem, evolutionary algorithms can be employed in cascade structure of classifiers. This paper proposes evolutionary pruning to reduce the number of weak classifiers in AdaBoost-based cascade detector, while maintaining the detection accuracy. The computation time is proportional to the number of weak… CONTINUE READING
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