{"id":82,"date":"2009-07-22T14:49:10","date_gmt":"2009-07-22T04:49:10","guid":{"rendered":"http:\/\/www.computer-vision-software.com\/blog\/?p=82"},"modified":"2010-02-10T21:16:53","modified_gmt":"2010-02-10T11:16:53","slug":"gender-detection","status":"publish","type":"post","link":"http:\/\/www.computer-vision-software.com\/blog\/2009\/07\/gender-detection\/","title":{"rendered":"Gender detection"},"content":{"rendered":"<p><object width=\"425\" height=\"355\"><param name=\"movie\" value=\"http:\/\/www.youtube.com\/v\/pLh3iQQn_fA&amp;rel=0&amp;color1=0xd6d6d6&amp;color2=0xf0f0f0\"><\/param><param name=\"wmode\" value=\"transparent\"><\/param><embed src=\"http:\/\/www.youtube.com\/v\/pLh3iQQn_fA&amp;rel=0&amp;color1=0xd6d6d6&amp;color2=0xf0f0f0\" type=\"application\/x-shockwave-flash\" wmode=\"transparent\" width=\"425\" height=\"355\"><\/object><\/p>\n<p><strong>Description<\/strong><\/p>\n<p>In this post we present a video demo of the gender classifier. This classifier is adapted for frontal- and near to frontal-oriented faces. It is capable to provide the real-time gender recognition with the invariance to complicated lighting conditions. The foundation of the implemented method is an AdaBoost powered extraction of the gender-descriptive features along with the further separation of male \/ female subsets for learning of the decision-making routine.<br \/>\nThe classifier works in the conjunction with face-detector and tries to classify all found faces on the each frame. The achieved accuracy of correct classification is 90-92%, though on small faces (less then 32&#215;32 pixels) returned by face-detector the accuracy of gender recognition could reduce to 80-88%.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Description In this post we present a video demo of the gender classifier. This classifier is adapted for frontal- and near to frontal-oriented faces. It is capable to provide the real-time gender recognition with the invariance to complicated lighting conditions. The foundation of the implemented method is an AdaBoost powered extraction of the gender-descriptive features [&hellip;]<\/p>\n","protected":false},"author":8,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[56,39,38,35],"tags":[51,52,50],"class_list":["post-82","post","type-post","status-publish","format-standard","hentry","category-demo","category-demo-video","category-demo-videos","category-youtube","tag-demography","tag-demography-classifier","tag-gender-recognition"],"_links":{"self":[{"href":"http:\/\/www.computer-vision-software.com\/blog\/wp-json\/wp\/v2\/posts\/82","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.computer-vision-software.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.computer-vision-software.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.computer-vision-software.com\/blog\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"http:\/\/www.computer-vision-software.com\/blog\/wp-json\/wp\/v2\/comments?post=82"}],"version-history":[{"count":0,"href":"http:\/\/www.computer-vision-software.com\/blog\/wp-json\/wp\/v2\/posts\/82\/revisions"}],"wp:attachment":[{"href":"http:\/\/www.computer-vision-software.com\/blog\/wp-json\/wp\/v2\/media?parent=82"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.computer-vision-software.com\/blog\/wp-json\/wp\/v2\/categories?post=82"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.computer-vision-software.com\/blog\/wp-json\/wp\/v2\/tags?post=82"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}