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Human Pose Estimation is a computer vision-based technology that detects and analyzes human posture. The main component of human pose estimation is the modeling of the human body. There are three of the most used types of human body models: skeleton-based model, contour-based, and volume-based. The most optimal ways are training of a deep learning model to extract 3D or 2D key points from the given images/frames. For the accurate prediction of a current. joint’s position, it processes visual. frames at various periods of time.