Applied Informatics Group

Evolutionäre Algorithmen für die zielgerichtete Optimierung eines Systems zur Verfolgung von 3D-Körperposturen

TitleEvolutionäre Algorithmen für die zielgerichtete Optimierung eines Systems zur Verfolgung von 3D-Körperposturen
Publication TypeDiploma Theses
AuthorsHermes, C.
Year2008
Abstract

In this thesis a parameter optimization framework for a real-time 3D body tracking system will be developed using the methods from the field of evolutionary algorithms. The given body tracking system can be customized with various parameters, resulting in a high dimensional parameter set search space. Each parameter set yields a result in recognizing the pose of a human being. The search for itself is done by applying genetic algorithms while emphasising on the criteria 'quality' and 'real-time ability' of the tracking system. At least two different sets of marker-based ground truth with different kind of people per set will be used for evaluating the tracking results. These analyses are aimed at revealing parameter coherences and importance values in parameter subsets.

Supervised ByKummert, Franz, and Schmidt, Joachim
Academic DepartmentFaculty of Technology
UniversityBielefeld University

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