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- 저자 : Go Josie Lace Y. (검색결과 1 건)
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Cabural, Aubrey M.,Catarig Dexter T.,Evangelista Marjory P.,Go Josie Lace Y.,Martillano Mary Hope T.,Banacia Alberto S. 대한전자공학회 2010 ICEIC:International Conference on Electronics, Inf Vol.1 No.1
In this paper, we have presented a system which performs automatic face detection and tracking using Motion Detection and Principal Component Analysis. The system was implemented with the use of a network camera VB-C50i and MATLAB 7.0. We divided the study into three (3) major stages. The first stage was the motion detection. After motion had been detected, face detection happened and then finally the detected face was tracked down. The first stage is motion detection. This was performed by setting a threshold for the maximum difference and used this threshold as an indicator for motion. The second stage for this system is face detection. When the system detected the image, the camera automatically captured the image. The captured image was then zoomed in and the possible face region was taken as input data. This possible face region underwent principal component analysis for face detection. After the principal component analysis detected the face, the image was cropped and zoomed in. The final stage is the tracking down of the face as analyzed in the first two stages. Once the system was able to track down the location of the face, it automatically displayed the detected face area. The whole system functioned in such away that it continued to loop every time a motion was detected. The whole system shows the efficiency and accuracy of automatic face detection and tracking with the use of principal component analysis.
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