Keynote speaker

Observing, tracking and understanding human hands
and hand-object interactions

Professor Antonis Argyros

Professor Antonis Argyros

Computer Science Department, University of Crete, Greece
and
Senior Researcher, Institute of Computer Science - FORTH
http://users.ics.forth.gr/

Abstract

Several human states, actions and intentions are manifested in the way their hands move. Thus, achieving a detailed and accurate estimation of this motion can serve as an important building block towards human activities interpretation and intention inference. In this talk, we provide an overview of our work on computational methods for tracking and understanding the activities of human hands based on unobtrusive computer vision techniques that rely on the processing and analysis of markerless visual data. First, we present methods for the detection and tracking of hands and fingers in 2D, with emphasis on occlusions handling and illumination invariance. Then, the main focus will be given to a recently proposed framework for tracking the 3D position, orientation and full articulation of human hand(s) from markerless visual observations. We show how this framework is employed to solve problems of varying complexity, ranging from 3D tracking of a single hand to 3D tracking of two hands interacting with several objects. In all cases, we treat tracking as an optimization problem that seeks for physically plausible hand(s)/object(s) configurations that best explain the available visual observations. Finally, we show how our work can support humanoid robot learning by demonstration, intuitive HCI and HRI as well as the development of interactive exhibits in the context of smart environments.

Brief biography of the Speaker

Antonis Argyros is a Professor of Computer Science at the Computer Science Department (CSD), University of Crete (UoC) and a researcher at the Institute of Computer Science (ICS), Foundation for Research and Technology-Hellas (FORTH) in Heraklion, Crete, Greece. He received his B.Sc. (1989) M.Sc. (1992) and PhD (1996) degrees from CSD-UoC. He has been a postdoctoral fellow at the Computational Vision and Active Perception Laboratory (CVAP) at the Royal Institute of Technology (KTH), Stockholm, Sweden. Since 1999, as a member of the Computational Vision and Robotics Laboratory (CVRL) of ICS-FORTH, he has been involved in many RTD projects in computer vision, image analysis and robotics. His research interests fall in the areas of computer vision with emphasis on tracking, human gesture and posture recognition, 3D reconstruction and omnidirectional vision. He is also interested in applications of computer vision in the fields of robotics and smart environments. In these topics, he has published more than 120 papers in peer reviewed scientific journals, conferences and workshops. Antonis Argyros is an area editor for the Computer Vision and Image Understanding Journal (CVIU) and a member of the Editorial Board of the IET Image Processing Journal. He has served as one of the General Chairs of the 11th European Conference in Computer Vision (ECCV'2010) as well as in the organizing and program committees of several vision, graphics and robotics conferences and workshops. He is also a faculty member of the Brain and Mind interdisciplinary graduate program and a member of the Strategy Task Group of the European Consortium for Informatics and Mathematics (ERCIM).

Copyright © ICMMI 2017