Pose Detection
Pose detection is classifying and detecting the
joints in the human body. Pose detection is the computer vision task that
includes associating, detecting, and semantic Key Points. It captures a set of
coordinates for each joint, known as a Key Point that explains the pose of a
person.
The connection between these points is known as a
pair. Computers can learn to read human body language by performing pose
identification and tracking.
Human pose estimation is challenging due to
various factors like diverse forms of clothes, arbitrary occlusion, diverse
angles, and background contexts.
Pose estimation operates by finding key points of
a person or object. Taking a person, for example, the key points would be
joints like the elbow, knees, wrists, etc. There are two types of pose
estimation: multi-pose and single pose. Single pose estimation is used to
estimate the poses of a single object in a given scene, while multi-pose
estimation is used when detecting poses for multiple objects.
