Learning object dynamics for smooth tracking of moving lip contours
A new technique is proposed for learning the dynamic characteristics of a deformable object, applied in particular to the problem of lip-tracking. Experimental results are given which demonstrate that the use of dynamic models allows the system to track more robustly under adverse conditions and to correct spurious, poorly tracked frames
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|Item Type:||Journal Article|
|Keywords:||dynamics, image motion analysis, learning (artificial intelligence), tracking, adverse conditions, deformable object, dynamic characteristics learning, dynamic models, moving lip contours, object dynamics learning, robust tracking, smooth tracking|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering|
Past > Schools > School of Engineering Systems
|Copyright Owner:||Copyright 2000 IEEE|
|Deposited On:||17 Oct 2011 11:27|
|Last Modified:||17 Oct 2011 11:27|
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