Real-time face detection, tracking and attributes

P.U.R.E Research Symposium

Danyang Wang

Methods

Face detection (viola-jones framework) [1]

Object tracking (L1 minimization tracking) [2]

Face attributes [3]

Applications

Surveillance Human-computer interactions Softwares

Security Robotics And more!

Goal

•Achieve real-time face detection and tracking with the ability of telling attributes of faces(e.g. gender, race, etc)

Dutch, Male Chinese, Male Korean, Male

Face detection

1. Integral Image algorithm [1] 2. Haar-like features and classifiers [1]

3. Cascade [1]

Lienhart introduced features [1]

Sample features

Object Tracking [2] Face attributes [3]

Mentor: Jia-Bin Huang

References

[1] Viola and Jones. Robust Real-time Object Detection, ICPV. 2001.

[2] Mei and Ling. Robust Visual Tracking using L1 Minimization, ICCV. 2009.

[3] Kumar et al. Attribute and Simile Classifiers for Face Verification, ICCV.

2009.

http://news.duowan.com/10356/warcraft.jpg http://www.merl.com/areas/images/FaceDetection.jpg

Department of electrical and computer engineering University of Illinois, Urbana-Champaign