Enhancing Real-Time Human Detection Based on Histograms of Oriented Gradients

@inproceedings{Pedersoli2008EnhancingRH,
  title={Enhancing Real-Time Human Detection Based on Histograms of Oriented Gradients},
  author={Marco Pedersoli and Jordi Gonz{\`a}lez and Bhaskar Chakraborty and Juan Jos{\'e} Villanueva},
  booktitle={Computer Recognition Systems 2},
  year={2008}
}
In this paper we propose a human detection framework based on an enhanced version of Histogram of Oriented Gradients (HOG) features. These feature descriptors are computed with the help of a precalculated histogram of square-blocks. This novel method outperforms the integral of oriented histograms allowing the calculation of a single feature four times faster. Using Adaboost for HOG feature selection and Support Vector Machine as weak classifier, we build up a real-time human classifier with an… CONTINUE READING

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