An Overview of Human Pose Estimation with Deep Learning
An Overview of Human Pose Estimation with Deep Learning – BeyondMinds
“A Human Pose Skeleton represents the orientation of a person in a graphical format. Essentially, it is a set of coordinates that can be connected to describe the pose of the person. Each co-ordinate in the skeleton is known as a part (or a joint, or a keypoint). A valid connection between two parts is known as a pair (or a limb). Note that, not all part combinations give rise to valid pairs. A sample human pose skeleton is shown below.
Knowing the orientation of a person opens avenues for several real-life applications, some of which are discussed towards the end of this blog. Several approaches to Human Pose Estimation were introduced over the years. The earliest (and slowest) methods typically estimating the pose of a single person in an image which only had one person to begin with. These methods often identify the individual parts first, followed by forming connections between them to create the pose.
Naturally, these methods are not particularly useful in many real-life scenarios where images contain multiple people…”