Target object position prediction and motion tracking

A computer-implemented method for target object position prediction, the method comprising:

• receiving, via an RGB camera, a plurality of images depicting a person positioned on a floor;
• applying a trained pose estimation (PE) model to the images to determine a plurality of keypoints associated with the person;
• determining the person's location relative to the floor by applying a trained foot position (FP) classifier to inputs comprising the keypoints and coordinates specifying a location of the RGB camera;
• and
• providing a visualization of each person's location relative to the floor.

A system for target object position prediction, the system comprising:

• a pose estimation (PE) model trained to determine a plurality of keypoints associated with a person using images acquired with an RGB camera;
• a trained foot position (FP) classifier trained to determine the person's location relative to a floor in the images based on the keypoints and coordinates specifying a location of the RGB camera;
• and
• a visualization model configured to provide a visualization of the person's location relative to the floor on one or more displays.