Real-time face detection, tracking and attributes Danyang Wang Mentor: Jia-Bin Huang Department of electrical and computer engineering University of Illinois, Urbana-Champaign Goal Applications • Achieve real-time face detection and tracking with Surveillance Security the ability of telling attributes of faces(e.g. gender, Human-computer interactions Robotics Softwares And more! race, etc) Dutch, Male Methods Chinese, Male Korean, Male Face detection (viola-jones framework)  Object tracking (L1 minimization tracking)  http://news.duowan.com/10356/warcraft.jpg http://www.merl.com/areas/images/FaceDetection.jpg Face attributes  Face detection 1. Integral Image algorithm  2. Haar-like features and classifiers  Lienhart introduced features  Sample features 3. Cascade  Object Tracking  Face attributes  References  Viola and Jones. Robust Real-time Object Detection, ICPV. 2001.P.U.R.E Research Symposium  Mei and Ling. Robust Visual Tracking using L1 Minimization, ICCV. 2009.  Kumar et al. Attribute and Simile Classifiers for Face Verification, ICCV. 2009.