Homepage of Ben Daubney


Contact Information:

Room 208
Department of Computer Science
Merchant Venturers Building
University of Bristol
Bristol, BS8 1UB
United Kingdom

Email:       Daubney@cs.bris.ac.uk


 

I have now moved to Swansea University my new (and very similar) homepage can be found at http://www.cs.swan.ac.uk/~csbcd

 

Research Interests

I currently work in the Computer Vision Group, my research interests are estimating human pose from a sequence of images using sparse motion features.

About Me

After studying my 'A' Levels at North Devon College I went to Cardiff University where I graduated in 2005 with a BSc in Astrophysics. Following a brief period working as a software developer I went to work for the Astronomy Instrumentation Group at Cardiff University where I worked in far infrared spectroscopy. Following this I moved to Bristol where I am currently studying for my PhD. I am funded through an EPSRC grant entitled "Understanding Biological Motion using the Moving Light Display", which is a collaborative project between Computer Science and Experimental Psychology.  I currently work under my supervisors Neill Campbell and David Gibson.

Interests

Although I seem to get the chance less and less my main interest is Surfing.

Teaching

I demonstrate on the following courses:

 

COMS12302 – Introduction to Scientific Computing – Open unit

COMS99998 – Introductory C Course – For MSc Students

COMSM1201– Programming in C – For MSc Students

Publications

Monocular 3D Human Pose Estimation using Sparse Motion Features

Ben Daubney, David Gibson and Neill Campbell, IEEE workshop on Tracking Humans for the Evaluation of their Motion in Image Sequences (Themis) - held in conjunction with ICCV, 2009. pdf 

Sequences

 

 

Real-Time Pose Estimation of Articulated Objects using Low-Level Motion

Ben Daubney, David Gibson and Neill Campbell, CVPR, 2008. pdf  poster

 

Sequences:

fig5a, fig5e, fig6, fig7a, fig7e.

 

Estimating Gait Phase using Low-Level Motion

Ben Daubney, David Gibson and Neill Campbell, IEEE Workshop on Motion and Video Computing, 2008. pdf

Links

KLT implementation

CImg Library