Model-based human gait tracking, 3D reconstruction and recognition in uncalibrated monocular video

Abstract

Automatic analysis of human motion includes initialisation, tracking, pose recovery and activity recognition. In this paper, a computing framework is developed to automatically analyse human motions through uncalibrated monocular video sequences. A model-based kinematics approach is proposed for human gait tracking. Based on the tracking results, 3D human poses and gait features are recovered and extracted. The recognition performance is evaluated by using different classifiers. The proposed method is advantageous in its capability of recognising human subjects walking non-parallel to the image plane.