{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/real-time-system-for-facial-analysis","title":"Real Time System for Facial Analysis","arxiv_id":"1809.05474","date":"2018-09-14","proceeding":null,"authors":["Janne Tommola","Pedram Ghazi","Bishwo Adhikari","Heikki Huttunen"],"abstract":"In this paper we describe the anatomy of a real-time facial analysis system.\nThe system recognizes the age, gender and facial expression from users in\nappearing in front of the camera. All components are based on convolutional\nneural networks, whose accuracy we study on commonly used training and\nevaluation sets. A key contribution of the work is the description of the\ninterplay between processing threads for frame grabbing, face detection and the\nthree types of recognition. The python code for executing the system uses\ncommon libraries--keras/tensorflow, opencv and dlib--and is available for\ndownload.","url_abs":"http://arxiv.org/abs/1809.05474v1","url_pdf":"http://arxiv.org/pdf/1809.05474v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"real-time-system-for-facial-analysis","repo_url":"https://github.com/mahehu/TUT-live-age-estimator","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"anatomy","task_name":"Anatomy"},{"task_slug":"face-detection","task_name":"Face Detection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}