Improving the Robustness of Lips Sensing with Evolutionary Video Processing

In this paper, an effective method is proposed for robust lips sensing. Our objectives are high-speed lips tr acking and data acquisition of a talking person in natural scenes. Our approach is based on the Evolutionary Video Processing. This method has a trade-off between accuracy and a processing time. To solve this problem, we proposed automatic Search Domain Control method and implement this method in the Evolutionary Video Processing. The tracking accuracy is improved from 66.3% to 84.9%. The proposed method can recover from occlusion and tracking loss. Comparative experiments are presented to demonstrate the effectiveness and robustness of the proposed method.

[1]  Quing Zhu,et al.  Quantifying labial blood flow using optical Doppler tomography. , 2004, Oral surgery, oral medicine, oral pathology, oral radiology, and endodontics.

[2]  D. E. Goldberg,et al.  Genetic Algorithms in Search, Optimization & Machine Learning , 1989 .

[3]  Moon Gi Kang,et al.  High Dynamic Range Image Reconstruction using Multiple Images , 2008 .

[4]  H. S. M. Coxeter.  The Erlangen Program , 1977 .

[5]  L. Darrell Whitley,et al.  The GENITOR Algorithm and Selection Pressure: Why Rank-Based Allocation of Reproductive Trials is Best , 1989, ICGA.

[6]  Alex Pentland,et al.  LAFTER: a real-time face and lips tracker with facial expression recognition , 2000, Pattern Recognit..

[7]  Soon Ki Jung,et al.  Particle filter with analytical inference for human body tracking , 2002, Workshop on Motion and Video Computing, 2002. Proceedings..

[8]  Michael Isard,et al.  CONDENSATION—Conditional Density Propagation for Visual Tracking , 1998, International Journal of Computer Vision.

[9]  Lucia Ballerini.  Genetic Snakes for Medical Images Segmentation , 1999, EvoWorkshops.

[10]  M. Fukumi,et al.  Real-time genetic lips region detection and tracking in natural video scenes , 2004, IEEE Conference on Cybernetics and Intelligent Systems, 2004..

[11]  K. Plataniotis,et al.  Color Image Processing and Applications , 2000 .

[12]  Lucia Ballerini.  Genetic snakes for medical image segmentation , 1998, Optics & Photonics.

[13]  L. Gool,et al.  Probabilistic object tracking using multiple features , 2004, ICPR 2004.

[14]  Yi-Ting Huang,et al.  A novel method for detecting lips, eyes and faces in real time , 2003, Real Time Imaging.