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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Recognizing Human Gender in Computer Vision: A Survey
verfasst von : Choon Boon Ng, Yong Haur Tay, Bok-Min Goi
Erschienen in: PRICAI 2012: Trends in Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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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.