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Robust and accurate global vision system for real time tracking of multiple mobile robots

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In this presentation a global vision system for tracking of multiple mobile robots will be presented. To the best knowledge of the authors it outperforms all existing global vision systems with respect to measurement precision and accuracy, high speed and real time operation and reliable tracking of large (theoretically unlimited) number of robots under light intensity changes. It uses specially designed robot marks and robots' poses measuring directly in Bayer format image delivered by the camera, which enables robust pose estimation of the robots with subpixel precision. Image processing algorithms are optimized so that tracking of many robots with high framerate is possible. With algorithms running on a 3 GHz Athlon 64 processor 65 robots can be tracked at 80 fps.

CV:
Mišel Brezak received the B.Sc. degree in Electrical Engineering from the Faculty of Electrical Engineering and Computing (FER Zagreb), University of Zagreb, in 2001. The same year he joined the Department of Control and Computer Engineering at FER Zagreb, where he is currently working towards his Ph.D. His main research interests are in the fields of mobile robotics, intelligent spaces and computer vision.