Enhancing real-time human detection based on histograms of oriented gradients

Enhancing real-time human detection based on histograms of oriented gradients

Pedersoli, Marco and Gonzàlez, Jordi and Chakraborty, Bhaskar and Villanueva, Juan J.

Advances in Soft Computing 2007

Abstract : 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 excellent detection rate. © 2007 Springer-Verlag Berlin Heidelberg.