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Observing hands in action

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Abstract: 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, we will focus on a computational 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 Bio: Antonis Argyros is a Professor of Computer Science at the Computer Science Department, University of Crete and a researcher at the Institute of Computer Science, Foundation for Research and Technology-Hellas (FORTH) in Heraklion, Crete, Greece. 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. Antonis Argyros has served in the organizing and program committees of several vision, graphics and robotics conferences and in the editorial boards of computer vision, image analysis and robotics journals.

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