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Next Generation Face Tracking Technology Using AAM Techniques

Corcoran, Peter
; 
Ionita, Mircea C.
; 
Bacivarov, Ioana
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Identifiers
http://hdl.handle.net/10379/1618
 https://doi.org/10.13025/18657
Publication Date
2007
Keywords
Embedded systems, Face recognition, Image sequences, Inference mechanisms, Pose estimation, Statistical analysis, Tracking, Electrical and Electronic Engineering
Type
conference paper
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Citation
Corcoran, P., Ionita, M. C., & Bacivarov, I. (2007). Next Generation Face Tracking Technology Using AAM Techniques. Paper presented at the Signals, Circuits and Systems, 2007. ISSCS 2007. International Symposium on.
Abstract
This paper realizes an investigation of the active appearance model (AAM) techniques, with particular emphasis on problems related to the implementation of AAM in realtime face tracking applications for embedded systems. The paper includes (a) new training and model construction approaches for AAMs with increased robustness to head pose variations and changes in the illumination conditions, and (b) a corresponding AAM-based face tracking scheme.
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Publisher
IEEE
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CC BY-NC-ND
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Electrical and Electronic Engineering (Conference Papers)