Partial Least Squares based subwindow search for pedestrian detection

@article{Wu2011PartialLS,
  title={Partial Least Squares based subwindow search for pedestrian detection},
  author={Jinchen Wu and Wei Chen and Kaiqi Huang and Tieniu Tan},
  journal={2011 18th IEEE International Conference on Image Processing},
  year={2011},
  pages={3565-3568}
}
In this paper, we propose a Partial Least Squares based sub-window search method for pedestrian detection, by which the detection speed can be improved effectively while maintaining high detection accuracy. Firstly, a sparse search is implemented to find all the possible locations containing parts of a pedestrian. Then a pre-learned Partial Least Squares regression model is applied to estimate the displacements of the subwindows to guide them towards the approximate locations of the pedestrians… CONTINUE READING
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