Gender Classification Using Faces and Gaits
Gender classification is one of the challenging problems in computer vision. Many interactive applications need to exactly recognize human genders. In this paper, we are carrying out some experiments to classify the human gender in conditions of low captured video resolution. We use Local Binary Pattern, Gray Level Co-occurrence Matrix to extract the features from faces and Gait Energy Motion, Gait Energy Image for gaits. We propose to combine face and gait features with the combination classifier to enhance gender classification performance.
KeywordsGender Classification Faces Gaits Local binary pattern Gait Energy Motion Gait Energy Image
This work (Grants No. C0005448) was supported by Business for Cooperative R&D between industry, Academy, and Research Institute funded by Korea Small and Medium Business Administration in 2012.
- 1.Golomb B, Lawrence D, Sejnowski T (1990) Sexnet: a neural network identifies sex from human faces. In: Advance in neural information processing systems, California, vol 3, pp 572–577Google Scholar
- 2.Nazir M, Ishtaiq M, Batool A, Jaffar A, Mirza AM (2010) Feature selection for efficient gender classification. In: Proceedings of the WSEAS international conference, Wisconsin, pp 70–75Google Scholar
- 3.Fang Y, Wang Z (2010) Improving LDP features for gender classification. In: IEEE international conference on wavelet analysis and pattern recognition, pp 1203–1208Google Scholar
- 4.Wang J, She M, Nahavandi S, Kouzani A (2010) A review of vision-based gait recognition methods for human identification. In: international conference on digital image computing: techniques and applications, pp 320–327Google Scholar
- 5.Ojala T, Maenpaa T (2002) Multiresolution gray_scale and rotation invariant texture classification with local binary pattern. IEEE Trans Pattern Anal Mach Intell 24:971–887 (Washington)Google Scholar
- 6.Clausi DA (2002) An analysis of co-occurrence texture statistics as a function of grey level quantization. J Remote Sens 28:45–62 (Canada)Google Scholar
- 7.Arai K, Asmara RA (2012) Human gait gender classification in spatial and temporal reasoning. Int J Adv Res Artif Intell 1:1–6Google Scholar
- 8.CASIA Gait Database. http:/www.cbrs.ia.ac.cn/English/index.asp