Título:
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Enhancing real-time human detection based on histograms of oriented gradients
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Autor/a:
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Perdersoli, Marco; Gonzàlez, Jordi; Chakraborty, Bhaskar; Villanueva, Juan J.
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Otros autores:
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Institut de Robòtica i Informàtica Industrial |
Abstract:
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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. |
Abstract:
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Peer Reviewed |
Materia(s):
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-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo -Computer vision -Visió per ordinador -Classificació INSPEC::Pattern recognition::Computer vision |
Derechos:
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Tipo de documento:
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Capítulo o parte de libro |
Editor:
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Springer
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Compartir:
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