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Robot vision system for face tracking using color information from video images  

Jung, Haing-Sup (청주대학교 전자공학과)
Lee, Joo-Shin (청주대학교 전자정보공학부)
Publication Information
Journal of Advanced Navigation Technology / v.14, no.4, 2010 , pp. 553-561 More about this Journal
Abstract
This paper proposed the face tracking method which can be effectively applied to the robot's vision system. The proposed algorithm tracks the facial areas after detecting the area of video motion. Movement detection of video images is done by using median filter and erosion and dilation operation as a method for removing noise, after getting the different images using two continual frames. To extract the skin color from the moving area, the color information of sample images is used. The skin color region and the background area are separated by evaluating the similarity by generating membership functions by using MIN-MAX values as fuzzy data. For the face candidate region, the eyes are detected from C channel of color space CMY, and the mouth from Q channel of color space YIQ. The face region is tracked seeking the features of the eyes and the mouth detected from knowledge-base. Experiment includes 1,500 frames of the video images from 10 subjects, 150 frames per subject. The result shows 95.7% of detection rate (the motion areas of 1,435 frames are detected) and 97.6% of good face tracking result (1,401 faces are tracked).
Keywords
video images; face detection; face tracking; HSI; CMY; YIQ;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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