Computer vision-assisted analysis of motion of a person

Abstract

Examples described herein relate to computer vision-assisted analysis of motion of a person. An optical device of a motion tracking system captures a calibration image of the person. The calibration image is processed to determine at least two calibration length values based on distances between anatomical landmarks associated with at least one body member. The optical device captures an exercising image of the person while the person performs a predetermined exercise. The exercising image is processed to determine at least two target length values based on distances between the anatomical landmarks associated with the at least one body member. A depth-related parameter associated with a target body member of the person is determined based on the calibration length values and the target length values. The depth-related parameter is used in the motion tracking system to track motion of the person with respect to the predetermined exercise.