3D Upper Human Body Motion Tracking Based on Sift Feather Matching
Shu Chen · Jisuanji fangzhen · 2012
Due to the absence of depth information in monocular video,the traditional human motion tracking based on monocular video sequences suffers from the problem of imprecise reconstruction of 3D human pose.To overcome this problem,a new 3D upper human body tracking from monocular video sequences was proposed which took the fully advantage of SIFT scaling fixity.Firstly,the system obtained SIFT correspondences.Then,the outliers were filtered by a iterative optimization.Finally,the pose of joint clavicle was estimated by solving a system of equations parameterized by two matched SIFT feathers.We reconstructed the posture of other joints in depth-first order according to the configuration of human skeleton model.The experiments show that the proposed algorithm can effectively reconstruct human upper body motion pose from uncalibrated monocular video sequences.