Recovering the 3D coordinates of various joints of the human body from an image is a critical first step for several model-based human tracking and optical motion capture systems....
Detection of articulated objects such as humans is an important task in computer vision. We present a system that incorporates a variety of constraints in a unified multiview fra...
We propose a novel consistent max-covering scheme for
human pose estimation. Consistent max-covering formulates
pose estimation as the covering of body part polygons
on an objec...
We present a system for the estimation of unconstrained
3D human upper body movement from multiple cameras.
Its main novelty lies in the integration of three components:
single-...
—Most of the development of pose recognition focused on a single person. However, many applications of computer vision essentially require the estimation of multiple people. Henc...