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Bandouch, Jan
Researcher
Member of the Intelligent Autonomous Systems (IAS) Group
Department of Computer Science, Chair IX
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Table of ContentsPublications |
About
| Present: | I work as a researcher for the Intelligent Autonomous Systems group, part of the Computer Science department IX, Technische Universität München. My PhD supervisor is Prof. Michael Beetz, PhD. I'm involved in the CoTeSys cluster of excellence. I'm also affiliated with Prof. Odest Chadwicke Jenkins and the Robotics group at Brown University, Providence, RI, where I've been a visiting researcher from March 2009 until June 2009. |
| Past: | I obtained my Diploma (equivalent to M.Sc.) in Computer Science from the Technische Universität München (Munich, Germany) in 2005. During my studies I have been focusing mainly on Mobile Robotics, Computer Vision and Efficient Algorithms. The title of my thesis has been "Stereo Vision for Collision Avoidance and Plane Estimation in Mobile Robots". |
My current field of interest is Computer Vision and Robotics, where I work on markerless methods for Human Motion Capture in typical (living) environments. My research aims at fast, accurate and reliable recognition and tracking of arbitrary human motions. I'm also interested in low-dimensional representations of human motion for advanced motion priors and activity recognition. Intended areas of application are Activity and Intention Recognition in Smart Environments, Motion Analysis and Industrial Ergonomic Studies.
Current Research Projects
- MeMoMan : Methods for Real-time Accurate Model-based Measurement of Human Motion: Tracking of human full-body motions.
Former Research Projects
- ASPOGAMO : Automated Sport Game Analysis Model: Robust visual detection and tracking of football players from broadcasted video.
Teaching
Please go to my teaching page for an overview on my teaching assignments, as well as for a list of available or assigned student projects (SEPs, BAs, DAs, MAs).Selected Publications
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Human Action Recognition using Global Point Feature Histograms and Action Shapes, 2009, Advanced Robotics journal, Robotics Society of Japan (RSJ),(BibTeX)
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MeMoMan - Model Based Markerless Capturing of Human Motion, 2009, The 17th World Congress on Ergonomics (International Ergonomics Association, IEA),(BibTeX)
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Action Recognition in Intelligent Environments using Point Cloud Features Extracted from Silhouette Sequences, 2008, IEEE 17th International Symposium on Robot and Human Interactive Communication (RO-MAN), Muenchen, Germany,(BibTeX)
