Learning Object Location Predictors with Boosting and Grammar-Guided Feature Extraction

@inproceedings{Eads2009LearningOL,
  title={Learning Object Location Predictors with Boosting and Grammar-Guided Feature Extraction},
  author={Damian Eads and Edward Rosten and David P. Helmbold},
  booktitle={BMVC},
  year={2009}
}
We present BEAMER: a new spatially exploitative approach to learning object detectors which shows excellent results when applied to the task of detecting objects in greyscale aerial imagery in the presence of ambiguous and noisy data. There are four main contributions used to produce these results. First, we introduce a grammar-guided feature extraction system, enabling the exploration of a richer feature space while constraining the features to a useful subset. This is specified with a rule… 
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