Markerless 3D Human Motion Tracking for Monocular Video Sequences

In markerless human motion tracking,the reconstructed human motion pose has great difference from the ground-truth value due to the absence of obvious markers and complex background.To overcome this problem,we present an approach to track 3D human motion from uncalibrated monocular video sequences based on deformable appearance template matching where the human appearance model adopted in this research contains 3D human skeleton model and 2D cardboard model.Firstly,the Euler angles of joints are estimated by inverse kinematics based on human skeleton constraint;secondly,the coordinates of pixels in the cardboard model in the scene are determined by forward kinematics,and the region of morphing appearance template in the image is obtained by projecting these pixels in the scene onto the image plane under perspective projection;finally,the human motion can be tracked by histogram matching.The experimental results show that favorable tracking results on a number of long complex human motion sequences can be generated by the method.This approach can be applied to several areas such as human-computer interaction and human animation.