A novel pixel neighborhood differential statistic feature for pedestrian and face detection

@article{Shen2017ANP,
  title={A novel pixel neighborhood differential statistic feature for pedestrian and face detection},
  author={Jifeng Shen and Xin Zuo and Jun Li and Wankou Yang and Haibin Ling},
  journal={Pattern Recognition},
  year={2017},
  volume={63},
  pages={127-138}
}
Motivated by the successful application of Local Binary Pattern (LBP), in this paper we propose a novel pixel neighborhood differential statistic feature for pedestrian and face detection based on the multiple channel maps. The calculation of LBP comprises of two steps, Pixel Differential Feature (PDF) calculation and PDF sign encoding. The PDF distills discriminative information of local region that can improve the performance of the pedestrian detector, but the encoding step degrades the… CONTINUE READING
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