Alexis Gkogkidis — accepted AI-conference papers

2016

Automatic bone parameter estimation for skeleton tracking in optical motion capture

Tobias Schubert, Katharina Eggensperger, Alexis Gkogkidis, Frank Hutter, Tonio Ball, Wolfram Burgard

ICRA 2016

Motion analysis is important in a broad range of contexts, including animation, bio-mechanics, robotics and experiments investigating animal behavior. For applications, in which tracking accuracy is one of the main requirements, passive optical motion capture systems are widely used. Many skeleton t

Cited by 17 Source ↗Scholar ↗

2015

Automatic initialization for skeleton tracking in optical motion capture

Tobias Schubert, Alexis Gkogkidis, Tonio Ball, Wolfram Burgard

ICRA 2015poster

The ability to track skeletal movements is important in a variety of applications including animation, biological studies and animal experiments. To detect even small movements, such a method should provide highly accurate estimates. Besides that it should not impede the mammal in its motion. This m…

Cited by 41 Source ↗Scholar ↗