Vision-based Human Gender Recognition: A Survey

Details Vision-based Human Gender Recognition: A Survey Vision-based Human Gender Recognition: A Survey

2012-04-07

arxiv.org/abs/1204.1611v1

Computer Science

Computer Vision and Pattern Recognition

30 pages

Scientific paper

Gender is an important demographic attribute of people. This paper provides a survey of human gender recognition in computer vision. A review of approaches exploiting information from face and whole body (either from a still image or gait sequence) is presented. We highlight the challenges faced and survey the representative methods of these approaches. Based on the results, good performance have been achieved for datasets captured under controlled environments, but there is still much work that can be done to improve the robustness of gender recognition under real-life environments.

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