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Real-time face alignment with tracking in video

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3 Author(s)
Yanchao Su ; Comput. Sci. & Technol. Dept., Tsinghua Univ. ; Haizhou Ai ; Shihong Lao

Real-time face alignment in video is very critical in many applications such as facial expression analysis, driver fatigue monitoring, etc. This paper presents a real time algorithm for face alignment in video that combines Active Shape Model (ASM) based face alignment and spatial-temporal continuity based tracking strategy. To guarantee the correctness of the tracked shape in each frame, a verification procedure is introduced so that when inter-frame shape tracking failed the intra-frame ASM algorithm can be restored to initialize a new shape for tracking. Experiments show that the implemented system can run totally automatic with a quite good accuracy that may have many practical applications.

Published in:

Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on

Date of Conference:

12-15 Oct. 2008

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