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Gender and age estimation system robust to pose variations

Published: 02 November 2006 Publication History

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.

References

[1]
Erina Takikawa, Satoshi Hosoi, Masato Kawade, User Adaptive Intelligent Interface using Facial Attribute Estimation. MIRU2005,(July.20), pp1604--1605. (in Japanese).
[2]
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).
[3]
Takayoshi Yamashita, et al. A Fast Omni Directional Face Detection System. Demo program of Int. Conf. Computer Vision, 2005.
[4]
Koichi Kinoshita et.al. A Fast and Robust Facial Points Localization and Pose Estimation System. Proc. Int. Conf. Computer Vision, 2005.
[5]
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.

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  1. Gender and age estimation system robust to pose variations

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    cover image ACM Conferences
    ICMI '06: Proceedings of the 8th international conference on Multimodal interfaces
    November 2006
    404 pages
    ISBN:159593541X
    DOI:10.1145/1180995
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    New York, NY, United States

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    Published: 02 November 2006

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    Author Tags

    1. age estimation
    2. facial image
    3. gender estimation

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    Overall Acceptance Rate 453 of 1,080 submissions, 42%

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