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- Title
Video-Based Facial Expression Recognition Using Hough Forest.
- Authors
SHIH-CHUNG HSU; CHI-TING HSU; CHUNG-LIN HUANG
- Abstract
This paper introduces a new video-based facial expression recognition system. Facial expression analysis encounters two major problems: non-rigid shape deformation and person-specific facial expression appearance. Our method analyzes the video sequence to recognize facial expression and locate the temporal apex of the facial expression by using modified Hough forest and minimizing the influence of person-specific facial expression appearance. Our contributions are (1) random sampling 3-D accumulated spatial-temporal motion map to generate video patches, (2) proposing the correlation filtering for more effective Hough voting, and (3) recognizing and locating the apex of the facial expression. The experimental results show that the performance of our method is better than the other face expression recognition methods.
- Subjects
FACIAL expression; HOUGH functions; STATISTICAL sampling; STATISTICAL correlation; VIDEO recording
- Publication
Journal of Information Science & Engineering, 2016, Vol 32, Issue 2, p477
- ISSN
1016-2364
- Publication type
Article