Faculty of Engineering and Natural Sciences
Real-time Tracking of Multiple Skin-Colored Objects
Antonis Argyros, University of Crete, Greece
Abstract: A method for tracking multiple skin colored objects in images acquired by a possibly moving camera will be presented. The proposed method encompasses a collection of techniques that enable the modeling and detection of skin-colored objects as well as their temporal association in image sequences. Skin-colored objects are detected with a Bayesian classifier which is bootstrapped with a small set of training data. Then, an on-line iterative training procedure is employed to refine the classifier using additional training images. On-line adaptation of skin-color probabilities is used to enable the classifier to cope with illumination changes. Tracking over time is realized through a novel technique which can handle multiple skin-colored objects. Such objects may move in complex trajectories and occlude each other in the field of view of a possibly moving camera. Moreover, the number of tracked objects may vary in time. The proposed 2D tracker has formed a basic building block for tracking multiple skin colored regions in 3D. More specifically, we have developed a method which is able to report the 3D position of all skin-colored regions in the field of view of a potentially moving stereoscopic camera system. Due to its robustness and efficiency, the proposed tracker(s) have already been used as important building blocks in a number of contexts such as human activity interpretation, Human Computer Interaction, etc.
Short CV: Antonis Argyros is an Associate Professor at the Computer Science Department, University of Crete and a researcher at FORTH-ICS. On July 1996, he completed his Ph.D on visual motion analysis at the Computer Science Department, University of Crete. He has been a postdoctoral fellow at the Computational Vision and Active Perception Laboratory (CVAP) at the Royal Institute of Technology in Stockholm, Sweden, where he worked on visually-guided, reactive robot navigation. In 1999 he joined the Computational Vision and Robotics Laboratory of FORTH-ICS, where he has been involved in many RTD projects in image analysis, computer vision and robotics. His research interests include Computer Vision, Robotics, visual perception of motion and scene structure, development of robot behaviors based on visual input, cognitive vision systems, vision-based tracking of multiple targets, omni-directional vision, alternative visual sensors. In these research areas he has published more than fifty papers in scientific journals and conference proceedings. Antonis Argyros is also a faculty member of the "Brain and Mind" interdisciplinary graduate program of the University of Crete and a member of the Executive Committee of the European Consortium for Informatics and Mathematics (ERCIM).
December 15, 2006, 13:40, FENS L056