High Performance Optical Flow Serves Bayesian Filtering for Safe Human-Robot Cooperation
Conference: ISR/ROBOTIK 2010 - ISR 2010 (41st International Symposium on Robotics) and ROBOTIK 2010 (6th German Conference on Robotics)
06/07/2010 - 06/09/2010 at Munich, Germany
Proceedings: ISR/ROBOTIK 2010
Pages: 8Language: englishTyp: PDFPersonal VDE Members are entitled to a 10% discount on this title
Graf, Jürgen; Dittrich, F.; Wörn, H. (Institute of Process Control and Robotics (IPR), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany)
Optical Flow estimation has found a way to be calculated in real time with feasible accuracy. This is due to novel extensions in the variational formulation and the progress developing modern graphic processor units (GPU) which enable parallel computations due to dozens of stream processors. This paper will show the development of a new data term for the variational formulation of the optical flow estimation and then embedding the optical flow field into a Bayesian filter for the purpose of human kinematic estimation. The theoretical considerations are manifested by experimental results. Novel theoretical considerations including an implemented framework with experimental results for markerless human motion and kinematic estimation.