A Comprehensive survey on Real Time human pose estimation
Apoorva Pravin Datir, Snehal Shivaji Funde, Nikita Tanaji Bhore, Shweta Balasaheb Gawande, Pallavi Dhade, Pallavi Utkarsh Nehete · 2023
Estimating a person's pose in real time in photos or videos is called “real-time estimate of human posture”. We make an attempt to present a thorough analysis of current models for estimating deep human poses from the bottom up and top down, additionally, posture estimation techniques are being used to recognise actions. The research papers covered in this study focuses on the recognition of 2D and 3D human poses. In this research, we concentrate on pose estimation on depth images and seek out computationally efficient methods without GPU exploitation. We give an overview of how recent action recognition systems-which take pose estimates from colour photographs as input-perform before demonstrating how much potential there is for development in this field.