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Patent US10825197
Issued 2020-11-03
Three Dimensional Position Estimation Mechanism
An apparatus to facilitate three dimensional (3D) position estimation is disclosed. The apparatus includes one or more processors to receive a plurality of images captured by a camera array during a live event, locate key-points of human joints of a plurality of event participants included in the images, associate key-points of each participant across the images and recover a 3D body position of each of the plurality of participants based on the associated key-points.
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- 1. An apparatus to facilitate three dimensional (3D) position estimation, comprising:
one or more processors to receive a plurality of two dimensional (2D) images captured by a camera array during a live event, locate key-points of human joints of a plurality of event participants included in the images, associate key-points of each participant across the images and recover a 3D body position of each of the plurality of participants based on the associated key-points, wherein locating the key-points of the human joints comprises detecting major joints of each of the plurality of participants associated with a bounding box and labeling the key-points at the major joints, and wherein the one or more processors are further to perform triangulation of a position of each of the major joints in a 3D space for a participant having the human joints, wherein the triangulation is performed based on camera projection matrices and pixel-locations of the major joints across the images.
- 8. A method to facilitate three dimensional (3D) position estimation, comprising:
receiving a plurality of two dimensional (2D) images captured by a camera array during a live event; locating key-points of human joints of a plurality of event participants included in the images, wherein locating the key-points of the human joints comprises detecting major joints of each of the plurality of participants associated with a bounding box and labeling the key-points at the major joints; associating key-points of each participant across the images; recovering a 3D body position of each of the plurality of participants based on the associated key-points; and performing triangulation of a position of each of the major joints in a 3D space for a participant associated with the human joints, wherein the triangulation is performed based on camera projection matrices and pixel-locations of the major joints across the images.
- 13. At least one non-transitory computer readable medium having instructions stored thereon, which when executed by one or more processors, cause the processors to:
receive a plurality of two dimensional (2D) images captured by a camera array during a live event; locate key-points of human joints of a plurality of event participants included in the images, wherein locating the key-points of the human joints comprises detecting major joints of each of the plurality of participants associated with a bounding box and labeling the key-points at the major joints; associate key-points of each participant across the images; recover a three-dimensional (3D) body position of each of the plurality of participants based on the associated key-points; and performing triangulation of a position of each of the major joints in a 3D space for a participant associated with the human joints, wherein the triangulation is performed based on camera projection matrices and pixel-locations of the major joints across the images.
