Person detection in surveillance environment with HoGG: Gabor filters and Histogram of Oriented Gradient

@article{Moctezuma2011PersonDI,
  title={Person detection in surveillance environment with HoGG: Gabor filters and Histogram of Oriented Gradient},
  author={Daniela Moctezuma and Cristina Conde and Isaac Mart{\'i}n de Diego and Enrique Cabello},
  journal={2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)},
  year={2011},
  pages={1793-1800}
}
In this paper, a novel method (HoGG) for human detection in non-controlled surveillance environments based on Gabor filters and Histograms of Oriented Gradients is proposed. Complete performance results of several alternative algorithms for human detection are presented. In order to evaluate these methods in non-controlled situations, a set of standard video surveillance databases (PETS 2006, PETS 2007, PETS 2009 and CAVIAR) as well as the classical (in people detection area) INRIA database are… CONTINUE READING

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