1 research outputs found
Computer methods for 3D motion tracking in real-time
This thesis is devoted to marker-less 3D human motion tracking in calibrated
and synchronized multicamera systems. Pose estimation is based on a 3D model,
which is transformed into the image plane and then rendered. Owing to
elaborated techniques the tracking of the full body has been achieved in
real-time via dynamic optimization or dynamic Bayesian filtering. The objective
function of a particle swarm optimization algorithm and the observation model
of a particle filter are based on matching between the rendered 3D models in
the required poses and image features representing the extracted person. In
such an approach the main part of the computational overload is associated with
the rendering of 3D models in hypothetical poses as well as determination of
value of objective function. Effective methods for rendering of 3D models in
real-time with support of OpenGL as well as parallel methods for determining
the objective function on the GPU were developed. The elaborated solutions
permit 3D tracking of full body motion in real-time.Comment: PhD Thesis "Komputerowe algorytmy ekstrakcji i \'sledzenia obiekt\'ow
w czasie rzeczywistym" (in Polish) Supervisor: PhD Bogdan Kwolek, Prof. AGH
Key words: model-based 3D motion tracking, parallel computing, computer
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