Title :
Person identification using facial motion
Author :
Chen, Li-Fen ; Liao, Hung-Yuan Mark ; Lin, Ja-Chen
Author_Institution :
Inst. of Inf. Sci., Acad. Sinica, Taipei, Taiwan
Abstract :
A new method for person identification based on facial motion is proposed. Facial motion is represented by a high-dimensional feature vector which is constructed by concatenating a sequence of motion flow fields. Under the proposed representation, each individual can be characterized as a feature vector which collects spatial and temporal information of a face simultaneously We then make use of this high-dimensional spatiotemporal feature vector to perform person identification. The experimental results are encouraging and exciting in terms of robustness under varying illumination conditions
Keywords :
face recognition; feature extraction; image representation; image sequences; lighting; motion estimation; video signal processing; CCD camera; face recognition; facial motion; facial motion representation; high-dimensional feature vector; illumination conditions; motion flow estimation; motion flow fields sequence; person identification; spatio-temporal feature vector; Algorithm design and analysis; Data mining; Face recognition; Feature extraction; Image motion analysis; Information science; Lighting; Motion estimation; Robustness; Spatiotemporal phenomena;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958584
