Visual tracking of the human body using particle filtering, with application to golf swing analysis
Speaker: Andrew Smith, ITEE
When: 2004-10-06 11:00:00
Venue: 78-420
Host: A/Prof Brian C. Lovell
Abstract:Biometric analysis has established itself as an effective training
tool for athletes. Currently most techniques rely on the use of
retro-reflective markers or magnetic sensors to be placed on an
athlete before such analysis can be performed. There is an
inherently large setup time involved with the use of these systems,
increasing the cost and inconvenience to the athlete. Were the
athlete's postural information captured visually, this setup time
could be greatly minimised. Furthermore, vision based systems have
the potential to be produced at much lower cost than magnetic sensor
systems due to the mass production of cheap cameras sensors. A final
advantage of obtaining posture from visual cues is that recorded
video of the actual athlete can be shown to provide feedback,
instead of a 'stickman' representation or an animated model.
The aim of this research is the development of a system which uses
visual cues to obtain an athlete's postural information, and
analyzes this with respect to a learned ideal motion. Completely
automated feedback can then be given based on differences between
the athlete's motions and the technically correct motion. The visual
tracking system proposed is based on a particle filtering approach
which will be used to extract the various joint angles of a golfer.
Biography:Andrew Smith received the BE degree in Electrical Engineering in
2001, and the B.BusMan(Econ) degree in 2002 both from the University
of Queensland. In 2002 he began working for Hi-Tech Video, the
company owning the relevant patent for this research. Since mid 2003
he has been a M.Phil student with the School of Information
Technology and Electrical Engineering at the University of
Queensland.
Type: M.Phil confirmation
Contact:A/Prof Brian C. Lovell, seminar host (lovell@itee.uq.edu.au)
or Guido Governatori (ITEE seminar co-ordinator)
(guido@itee.uq.edu.au)