Word Channel Based Multiscale Pedestrian Detection without Image Resizing and Using Only One Classifier

@article{Costea2014WordCB,
  title={Word Channel Based Multiscale Pedestrian Detection without Image Resizing and Using Only One Classifier},
  author={Arthur Daniel Costea and Sergiu Nedevschi},
  journal={2014 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2014},
  pages={2393-2400}
}
Most pedestrian detection approaches that achieve high accuracy and precision rate and that can be used for realtime applications are based on histograms of gradient orientations. Usually multiscale detection is attained by resizing the image several times and by recomputing the image features or using multiple classifiers for different scales. In this paper we present a pedestrian detection approach that uses the same classifier for all pedestrian scales based on image features computed for a… CONTINUE READING
Highly Cited
This paper has 48 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 32 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 33 references

Similar Papers

Loading similar papers…