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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Bibliographic Details
Main Author: Pfister, T
Other Authors: Zisserman, A
Format: Thesis
Language:English
Published: 2015
Subjects: