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Next Generation Face Tracking Technology Using AAM Techniques

ARAN - Access to Research at NUI Galway

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dc.contributor.author Corcoran, Peter en
dc.contributor.author Ionita, Mircea C. en
dc.contributor.author Bacivarov, Ioana en
dc.date.accessioned 2011-02-18T09:53:11Z en
dc.date.available 2011-02-18T09:53:11Z en
dc.date.issued 2007 en
dc.identifier.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. en
dc.identifier.uri http://hdl.handle.net/10379/1618 en
dc.description.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. en
dc.format application/pdf en
dc.publisher IEEE en
dc.subject Embedded systems en
dc.subject Face recognition en
dc.subject Image sequences en
dc.subject Inference mechanisms en
dc.subject Pose estimation en
dc.subject Statistical analysis en
dc.subject Tracking en
dc.subject Electrical and Electronic Engineering en
dc.title Next Generation Face Tracking Technology Using AAM Techniques en
dc.type Conference Paper en
dc.local.publishedsource http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=4292639 en
dc.description.peer-reviewed peer-reviewed en

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