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

Publication Type  Book Chapter
Year of Publication  2007
Authors  Bagnato, L.; Sorci, M.; Antonini, G.; Baruffa, G.; Maier, A.; Leathwood, P.; Thiran, J.
Book Title  Advances in Visual Computing
City  Lake Tahoe, NE
Publisher  Springer
Volume  4841
Pages  13-23
Series Title  Lecture Notes in Computer Science
Edition  Proceedings of Third International Symposium on Visual Computing, 26-28/11/2007
Language  eng
ISBN Number  978-3-540-76857-9
ISSN Number  0302-9743
Key Words  tracking; particle filtering; condensation; model switching; active appearance model
Abstract  

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.
Notes  

http://www.springerlink.com/content/r821k2130xm1428r/
URL  http://www.isvc.net/
DOI  10.1007/978-3-540-76858-6_2
Citation Key  346
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