A study on face system

Speaker: Mine-Quan Jing

National Chiao Tung University

Outline

Application Related techniques

Segmentation Identification Recognition

Progress (目前進展 ) Systems Demo

NTU,NCTU,NTHU,ACADMIA SINICA

Related techniques – Segmentation How to find the face in a scene

Color Based Change Detector (CD)

Background Subtraction Temporal Difference Hybrid

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 cond

iction

Color Based Segmentation— Skin model construction

The original image was taken from http://nn.csie.nctu.edu.tw/face-detection/ppframe.htm

Color Based Segmentation— Skin model construction

The original image was taken from http://nn.csie.nctu.edu.tw/face-detection/ppframe.htm

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

Related techniques – Change Detector a face is almost always moving Disadvantages:

What if there are other object moving in the background.

Four steps for detection1. Frame differencing

2. Thresholding:

3. Noise removal

4. Locate the face

http://ansatte.hig.no/~erikh/papers/hig98_6/node2.html#bevdet

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

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