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Next Generation Face Tracking Technology Using AAM Techniques
2007
2007 International Symposium on Signals, Circuits and Systems
This paper realizes an investigation of the Active The third tracking category, statistical inference approaches, Appearance Model (AAM) techniques, with particular emphasis includes Kalman filtering techniques for uni-modal Gaussian on problems related to the implementation of AAM in realrepresentations [18] [19] Monte Carlo approaches for nontime face tracking applications for embedded systems. The paper reprsentaonsi[18] [19], Mont Carl approacesi forn includes (a) new training and model
doi:10.1109/isscs.2007.4292639
fatcat:j3a2c36e55evto5nqiqy6iitbu