Real-time Human Upper Body Action Recognition and Body Part Motion Capturing

碩士 === 國立清華大學 === 電機工程學系 === 102 === This thesis proposes a real-time system to recognize human upper body posture and predict positions of upper limbs joints using the depth image captured by using Kinect. The system consists of three stages: (1) action recognition, (2) body part segmentation, (3)...

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Bibliographic Details
Main Authors: Kao,Wei-Chia, 高唯家
Other Authors: Huang,Chung-Lin
Format: Others
Language:en_US
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/48905552485183414140