A block-based face detection algorithm for the efficient video coding of a videophone 


Vol. 29,  No. 9, pp. 1258-1268, Sep.  2004


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  Abstract

We propose a new fast, algorithm which is used for detecting frontal face in the frequency domain based on human skin-color using OCT coefficient of dynamic image compression and skin color information. The region where each pixel has a value of skin-color were extracted from U and V value based on DCT coefficient obtained in the process of Image compression using skin-color map in the Y, U, V color space A morphological filter and labeling method are used to eliminate noise in the resulting image We propose the algorithm to detect fastly human face that estimate the directional feature and variance of luminance block of human skin-color Then Extraction of face was completed adaptively on both background have the object analogous to skin-color and background is simple in the proposed algorithm The performance of face detection algorithm is illustrated by some simulation results earned out on various races We confined that a success rate of 94 % was achieved from the experimental results.

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  Cite this article

[IEEE Style]

K. J. Kim, K. G. bang, J. M. Moon, J. H. Kim, "A block-based face detection algorithm for the efficient video coding of a videophone," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 9, pp. 1258-1268, 2004. DOI: .

[ACM Style]

Ki Ju Kim, Kyoung Gu bang, Jeong Mee Moon, and Jae Ho Kim. 2004. A block-based face detection algorithm for the efficient video coding of a videophone. The Journal of Korean Institute of Communications and Information Sciences, 29, 9, (2004), 1258-1268. DOI: .

[KICS Style]

Ki Ju Kim, Kyoung Gu bang, Jeong Mee Moon, Jae Ho Kim, "A block-based face detection algorithm for the efficient video coding of a videophone," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 9, pp. 1258-1268, 9. 2004.