Patent · US Active

Pose estimation systems and methods trained using motion capture data

US12394089B2 · kind B2 · utility

0Cited by
1References
20Claims
0Family size

Assignee

Inventors

Key dates

Filing dateOct 4, 2021
Grant dateAug 19, 2025
Priority date
Expiry dateMay 8, 2043

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06T2207/30196
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

A training system includes: a neural network model configured to determine three-dimensional coordinates of joints, respectively, representing poses of animals in images, where the neural network model is trained using a first training dataset including: images including animals; and coordinates of joints of the animals in the images, respectively; and a training module configured to, after the training of the neural network model using the first training dataset, train the neural network model using a second training dataset including motion capture data, where the motion capture data does not include images of animals and includes measured coordinates at points, respectively, on animals.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.