CS Colloquium Series @ UCY

Department of Computer Science - University of Cyprus

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Colloquium Coordinator: Demetris Zeinalipour

Colloquium: Real-Time Hand Tracking for Human-Computer Interaction, Dr. Paris Kaimakis (University of Cyprus, Cyprus), Wednesday, December 18, 2013, 10:00-11:00 EET.

The Department of Computer Science at the University of Cyprus cordially invites you to the Colloquium entitled:

Real-Time Hand Tracking for Human-Computer Interaction


Speaker: Dr. Paris Kaimakis
Affiliation: University of Cyprus, Cyprus
Category: Colloquium
Location: Room 148, Faculty of Pure and Applied Sciences (FST-01), 1 University Avenue, 2109 Nicosia, Cyprus (directions)
Date: Wednesday, December 18, 2013
Time: 10:00-11:00 EET
Host: Yiorgos Chrysanthou (yiorgos-AT-cs.ucy.ac.cy)
URL: https://www.cs.ucy.ac.cy/colloquium/index.php#cs.ucy.2013.kaimakis

The successful commercialisation of Microsoft's Kinect, and the recent release of the Leap Motion Controller have demonstrated the increasing demand for reliable, low-cost, real-time Markerless Motion Capture systems -- systems that can sequentially estimate the subject’s 3Dpose based on visual information, without markers. Such systems have numerous lucrative applications, e.g. in human-computer interaction, computer gaming, animation, automated surveillance, and more. The last decade has seen limited progress in the field, mainly due to the conflicting design criteria of such systems: real-time processing indicates that implementation of gradient-based algorithms is necessary for tracking, while the low-cost criterion disqualifies the use of dedicated hardware and therefore imposes use of low-level and often ambiguous data. The problem is that gradient-based approaches become very unstable in the presence of such ambiguity. In this talk we introduce a system designed to circumvent these difficulties, achieving real-time tracking of the human hand with high precision and zero hardware requirements (further to an ordinary laptop). The talk will focus on the system's early design and modelling steps, as well as its Bayesian formulation.

Short Bio:
Dr Paris Kaimakis conducted his doctoral research in the Signal Processing Laboratory at the University of Cambridge focusing on solutions to the Markerless Motion Capture problem. After receiving the PhD degree in 2009, he worked as a Research Associate in the Computer Laboratory, again in the University of Cambridge. His post-doctoral research concentrated on the automation of urban road traffic surveillance and flow-volume estimation using visual means and sequential Monte Carlo methods. In 2010 he joined Autonomy, the UK's largest software firm, as a Research and Development Engineer. While in Autonomy, he worked in the development of augmented reality applications for the iPhone/iPad and for Android devices. He has been involved in the development of the popular Aurasma App, the world's first visual browser (over 3 million users, available at the App Store and Google Play) and worked in related side-projects such as 3D head tracking, image processing and image analysis. In 2011 Paris returned to Cyprus and co-founded a company dedicated to the development and commercialisation of new-generation, human-oriented, controller-free computer interfaces. Paris has also conducted EU-funded research on the automation of visual surveillance on Cypriot sea borders, and has taught computer vision to undergraduates at the University of Cyprus.

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Sponsor: The CS Colloquium Series is supported by a generous donation from Microsoft

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