Real-time face alignment with tracking in video

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.

• Type: Conference
• Year: 2008
• Where: ICIP
• Authors: Yanchao Su, Haizhou Ai, Shihong Lao
• Keywords: Combines Active Shape, ICIP 2008, Image Processing, Inter-frame Shape, Intra-frame Asm Algorithm, Real Time Algorithm, Real-time Face Alignment