Reprojection error based annealed particle filter for human upper body pose reconstruction

3D human pose reconstruction is a key concern in computer vision area in recent years. Due to the deficiency of depth information, reconstructing human pose from a single image or image sequences is still a difficult and challenging task. In this paper, we present an annealed particle filter algorithm based on reprojection error to recover the 3D configuration of human upper body, with the annotated joints´ position in the image. In addition, we make simplifications to the weak perspective projection, and the 7 camera parameters to be estimated are reduced to only 1. Experiments show that our method is simple but exactly suitable for recovering articulated human upper body pose.