1. A study on face system Speaker: Mine-Quan Jing National Chiao Tung University

2. Outline Application Related techniques  Segmentation  Identification  Recognition Progress ( 目前進展 ) Systems Demo  NTU,NCTU,NTHU,ACADMIA SINICA

3. Related techniques – Segmentation How to find the face in a scene  Color Based  Change Detector (CD)  Background Subtraction  Temporal Difference  Hybrid

4. Related techniques – Color Based Segmentation Skin Color & shape (elliptical) are often used in detect and track faces The disadvantage:  Do not work with all kind of skin color  Not robust under varying lighting condiction

5. Color Based Segmentation — Skin model construction The original image was taken from http://nn.csie.nctu.edu.tw/face-detection/ppframe.htm

6. Color Based Segmentation — Skin model construction The original image was taken from http://nn.csie.nctu.edu.tw/face-detection/ppframe.htm

7. Color Based Segmentation — Skin model construction Gaussian mixture colour models for face detection. http://www.dcs.qmul.ac.uk/research/vision/articles/bmvc97/node1.html

8. Related techniques – Change Detector a face is almost always moving Disadvantages:  What if there are other object moving in the background. Four steps for detection 1. Frame differencing 2. Thresholding: 3. Noise removal 4. Locate the face http://ansatte.hig.no/~erikh/papers/hig98_6/node2.html#bevdet

9. Related techniques – Change Detector A typical motion image Amount of pixels on each line in the motion image The original images were taken from http://ansatte.hig.no/~erikh/papers/hig98_6/node2.html#bevdet

10. The 5th International Conference on Automatic Face and Gesture Recognition will take place 2002 in Washington D.C., USA.