Human Pose Estimation

Human Pose Estimation is an important task in Computer Vision which has gained a lot of attention the last years and has a wide range of applications like human-computer interaction, gaming, action recognition, computer-assisted living, special effects. It has rapidly progressed with the advent of neural networks in the deep learning era. The goal of 3D human pose estimation is to estimate the joints location of one or more human bodies in 2D or 3D space from a single image. Joints are connected to form a skeleton to describe the pose of the person. OpenPose is the most popular open-source tool for body, foot, hand, and facial keypoint detection.