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This study at National Chiao Tung University explores face system analysis, including segmentation, identification, and recognition techniques. Discover progress in the field and related systems demo by NTU, NCTU, NTHU, and Academia Sinica. Explore color-based segmentation, change detection, background subtraction, and hybrid techniques.
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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 condiction
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 detection • Frame differencing • Thresholding: • Noise removal • Locate the face http://ansatte.hig.no/~erikh/papers/hig98_6/node2.html#bevdet
A typical motion image Related techniques –Change Detector 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.