By Topic

Finding continuous-model moving shapes by evidence gathering

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Grant, M.G. ; Dept. of Electron. & Comput. Sci., Southampton Univ., UK ; Nixon, M.S. ; Lewis, P.H.

Two recent approaches are combined in a new technique to find moving arbitrary shapes. We combine the new velocity Hough transform, which extracts moving conic sections, with a continuous formulation for arbitrary shape extraction. The new velocity Hough transform is demonstrated to provide motion analysis that is resilient to noise and to be able to detect its target shapes, which are both moving and arbitrary. Further, it is shown to have performance advantage over contemporaneous single-image extraction techniques. Finally, it appears to offer improved immunity to noise and occlusion, as consistent with evidence gathering techniques. The target application of this new approach is for use in automatic gait recognition, as a primer for shape extraction or as a basis for a recognition technique

Published in:

Motion Analysis and Tracking (Ref. No. 1999/103), IEE Colloquium on

Date of Conference: