Multi-level Face Tracking for Estimating Human Head Orientation in Video Sequences | Zendy

Tobias Bausch | Zendy; Pierre Bayerl | Zendy; Heiko Neumann | Zendy

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Multi-level Face Tracking for Estimating Human Head Orientation in Video Sequences

Author(s) -

Tobias Bausch,

Pierre Bayerl,

Heiko Neumann

Publication year - 2006

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-34743-7

DOI - 10.1007/11768029_18

Subject(s) - computer vision , artificial intelligence , computer science , robustness (evolution) , facial motion capture , orientation (vector space) , head (geology) , face (sociological concept) , eye tracking , pattern recognition (psychology) , facial recognition system , face detection , mathematics , geometry , social science , biochemistry , chemistry , geomorphology , sociology , gene , geology

We propose a hierarchical scheme of tracking facial regions in video sequences. The hierarchy uses the face structure, facial regions and their components, such as eyes and mouth, to achieve improved robustness against structural deformations and the temporal loss of image components due to, e.g., self-occlusion. The temporal deformation of facial eye regions is mapped to estimate the head orientation around the yaw axis. The performance of the algorithm is demonstrated for free head motions.

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