The key technologies of gait tracking are studied, and a relatively robust multi-camera self-correction tracking method is proposed. This method combines Kalman filter prediction technology, marker point trajectory smoothness and multi-view geometric relationship to track the motion trajectory of the marker point. This method is applied to the reconstruction of three-dimensional human gait, and a comparative experiment is conducted with the commercial system Vicon. The experiment shows that this method can obtain more accurate gait data and meet the needs of human gait analysis. Keywords: motion capture; camera calibration; motion tracking
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