Advancing human pose and gesture recognition

<p>This thesis presents new methods in two closely related areas of computer vision: human pose estimation, and gesture recognition in videos.</p> <p>In human pose estimation, we show that random forests can be used to estimate human pose in monocular videos. To this end, we propos...

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Detalles Bibliográficos
Autor Principal: Pfister, T
Outros autores: Zisserman, A
Formato: Thesis
Idioma:English
Publicado: 2015
Subjects: