Paris Kaimakis
Introduction
Research
Paris
received the BA/MEng
degree in 2003 and the PhD degree in 2009, both from the University of
Cambridge. His PhD research was
supervised by Joan Lasenby
and focused on the development of gradient-based algorithms for
tracking
articulated bodies using silhouette data.
Paris
is
currently a member of the TIME project,
working on
the visual
detection, recognition and tracking of vehicles for
real-time traffic monitoring applications.
Publications
- Physiological Modelling for Improved
Reliability in Silhouette-Driven Gradient-Based Hand Tracking
Paris
Kaimakis and Joan Lasenby. In Proc.
IEEE International Conference on Computer Vision and Pattern
Recognition (CVPR) Workshop for Human Communicative Behaviour Analysis,
pp. 19-26, Miami, FL, USA, June 25, 2009.
[pdf]
[BibTeX] [project
page]
-
Gradient-Based Hand
Tracking Using Silhouette Data
Paris Kaimakis and
Joan Lasenby. In Proc.
3rd International Symposium on Visual Computing (ISVC), vol.1, pp.
24-35, Lake Tahoe, NV/CA, USA, November 26-28, 2007.
[pdf]
[BibTeX]
- Markerless
Motion Capture with
Single and Multiple
Cameras
Paris Kaimakis
and Joan Lasenby. In Proc. 11th IEEE International
Conference on Image Processing (ICIP), vol. 4, pp. 2607-2610,
Singapore, October 24-27 2004.
[pdf]
[BibTeX]
Contact details
- address:
Department of Engineering,
University of Cambridge, Trumpington Street, Cambridge CB2 1PZ
- e-mail:
pk228 [at] eng.cam.ac.uk
- telephone:
+44 1223 332766
|
