Visualizing character and object animations
With our human motion tracker we record various types of human motions. This includes tracking of everyday activites, sport and gymnastics, monitoring of people with movement restrictions and human/human or human/maschine interactions. We would like to build a framework to visualize and manage the recorded data and to ease the analysis and interpretation of human motions.
Project type:
SEP
Project overview: We are using an particle filter based approach to track the human body by using a fully adaptable, high dimensional model with up to 50 degrees of freedoms. For further background information about the project context see www9.in.tum.de/research/memoman.
Task description: Build a framework which can visualize and manage character animations and serves as a starting point for further analysis. Depending on the scale of your work you can then interprete the human motions in the field of your choice (everyday acitivities, sport, people with movement restrictions and/or interactions).
Prerequisites: Solid programming skills (C++). Experienced and/or interested in OpenGL, Qt/Trolltech and character animations. Interpretating the data will require you to use basic mathematical tools.
Professor: Prof. Beetz, Michael, PhD
Supervisor: Weikersdorfer, David
State: Running
Student: Florian Walter
