Automatic reconstruction of 3D human motion pose from uncalibrated monocular video sequences based on markerless human motion tracking

作者：Zou Beiji; Chen Shu^*; Shi Cao; Providence Umugwaneza Marie

来源：Pattern Recognition, 2009, 42(7): 1559-1571.

DOI：10.1016/j.patcog.2003.12.024

• 3D human motion reconstruction
• Human motion tracking from monocular
• video sequences
• Inverse kinematics
• Human skeleton model
• Camera model

We present a method to reconstruct human motion pose from uncalibrated monocular video sequences based on the morphing appearance model matching. The human pose estimation is made by integrated human joint tracking with pose reconstruction in depth-first order. Firstly, the Euler angles of joint are estimated by inverse kinematics based on human skeleton constrain. Then, the coordinates of pixels in the body segments in the scene are determined by forward kinematics, by projecting these pixels in the scene onto the image plane under the assumption of perspective projection to obtain the region of morphing appearance model in the image. Finally, the human motion pose can be reconstructed by histogram matching. The experimental results show that this method can obtain favorable reconstruction results on a number of complex human motion sequences.

• 出版日期2009-7
• 单位中南大学