Robust infants face tracking using active appearance models: a mixed-state CONDENSATION approach

In this paper a new extension of the CONDENSATION algorithm, with application to infants face tracking, will be introduced. In this work we address the problem of tracking a face and its features in baby video sequences. A mixed state particle filtering scheme is proposed, where the distribution of observations is derived from an active appearance model. The mixed state approach combines several dynamic models in order to account for different occlusion situations. Experiments on real video show that the proposed approach augments the tracker robustness to occlusions while maintaining the computational time competitive.


Published in:
Lecture Notes in Computer Science
Presented at:
3rd International Conference on Visual Computing, Lake Tahoe, Nevada/Claifornia, November 26-28 2007
Year:
2007
Publisher:
Springer Verlag
ISSN:
0302-9743
Keywords:
Laboratories:




 Record created 2007-09-14, last modified 2018-03-17

n/a:
Download fulltextPDF
External link:
Download fulltextURL
Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)