Erina Takikawa
ABSTRACT
For applications based on facial image processing, pose variation is a difficult problem. In this paper, we propose a gender and age estimation system that is robust against pose variations. The acceptable facial pose range is a yaw (left-right) from -30 degrees to +30 degrees and a pitch (up-down) from -20 degrees to +20 degrees. According to our experiments on several large databases collected under real environments, the gender estimation accuracy is 84.8% and the age estimation accuracy is 80.9% (subjects are divided into 5 classes). The average processing time is about 70 ms/frame for gender estimation and 95 ms/frame for age estimation (Pentium4 3.2 GHz). The system can be used to automatically analyze shopping customers and pedestrians using surveillance cameras.
- Erina Takikawa, Satoshi Hosoi, Masato Kawade, User Adaptive Intelligent Interface using Facial Attribute Estimation. MIRU2005,(July.20), pp1604--1605. (in Japanese).Google Scholar
- Satoshi Hosoi, Erina Takikawa, Masato Kawade, Gender and Adult Estimation System with Gabor Wavelet and Support Vector Machines. SSII2002, (July.2002), pp243--246. (in Japanese).Google Scholar
- Takayoshi Yamashita, et al. A Fast Omni Directional Face Detection System. Demo program of Int. Conf. Computer Vision, 2005.Google Scholar
- Koichi Kinoshita et.al. A Fast and Robust Facial Points Localization and Pose Estimation System. Proc. Int. Conf. Computer Vision, 2005.Google Scholar
- F.Smeraldi and J.Bigun, Facial feature detection by Saccadic Exploration of the Gabor Decomposition. Proceedings of the 1998 International Conference on Image Processing, Octorber, 1998.Google Scholar
Index Terms
- Gender and age estimation system robust to pose variations
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