A new multiclass SVM algorithm and its application to crowd density analysis using LBP features

@article{Fradi2013ANM,
  title={A new multiclass SVM algorithm and its application to crowd density analysis using LBP features},
  author={Hajer Fradi and Jean-Luc Dugelay},
  journal={2013 IEEE International Conference on Image Processing},
  year={2013},
  pages={4554-4558}
}
Crowd density analysis is a crucial component in visual surveillance for security monitoring. In this paper, we propose to estimate crowd density at patch level, where the size of each patch varies in such way to compensate the effects of perspective distortions. The main contribution of this paper is two-fold: First, we propose to learn a discriminant subspace of the high-dimensional Local Binary Pattern (LBP) instead of using raw LBP feature vector. Second, an alternative algorithm for… CONTINUE READING

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