Boosting histograms of oriented gradients for human detection

All of RECERCAT

To access the full text documents, please follow this link: http://hdl.handle.net/2117/2745

Title:	Boosting histograms of oriented gradients for human detection
Author:	Perdersoli, Marco; Gonzàlez, Jordi; Chakraborty, Bhaskar; Villanueva, Juan J.
Other authors:	Institut de Robòtica i Informàtica Industrial
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 fast human classifier with an excellent detection rate.
Abstract:	Peer Reviewed
Subject(s):	-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo -Computer vision -object recognition -machine vision -pattern recognition -Visió per ordinador -Classificació INSPEC::Pattern recognition::Computer vision
Rights:
Document type:	Conference Object
Published by:	s. n.
Share: