MAP estimation of chin and cheek contours in video sequences

Authors:
Markus Kampmann
Affiliations:
Ericsson Research, Ericsson Allee, Herzogenrath, Germany
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2004

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Abstract

An algorithm for the estimation of chin and cheek contours in video sequences is proposed. This algorithm exploits a priori knowledge about shape and position of chin and cheek contours in images. Exploiting knowledge about the shape, a parametric 2D model representing chin and cheek contours is introduced. Exploiting knowledge about the position, a MAP estimator is developed taking into account the observed luminance gradient as well as a priori probabilities of chin and cheek contours positions. The proposed algorithm was tested with head and shoulder video sequences (image resolution CIF). In nearly 70% of all investigated video frames, a subjectively error free estimation could be achieved. The 2D estimate error is measured as on average between 2.4 and 2.9 pel.