Object segmentation using skin color and motion information

Eui-Yoon Chung; Ho-Keun Lee; Hyung Suk Kim; Yeong-Ho Ha

doi:10.1117/12.411854

29 December 2000 Object segmentation using skin color and motion information

Eui-Yoon Chung, Ho-Keun Lee, Hyung Suk Kim, Yeong-Ho Ha

Proceedings Volume 4310, Visual Communications and Image Processing 2001; (2000) https://doi.org/10.1117/12.411854
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

Abstract

This paper presents an effective object segmentation method for object-oriented coding. The process is composed of facial region detection using skin color and changed region detection using motion information. The image is then segmented between moving objects and background using motion estimation. The facial regions are detected using skin color, the data for which is obtained from the u, v image. This data is then used as a threshold to segment the facial region. The image is also segmented into changed regions using motion information. After combining these results, the final image is segmented between moving objects and background. This method is more efficient due to two factors, color and motion. Experimental results show that the proposed method can significantly improve the image quality.

Citation Download Citation

Eui-Yoon Chung, Ho-Keun Lee, Hyung Suk Kim, and Yeong-Ho Ha "Object segmentation using skin color and motion information", Proc. SPIE 4310, Visual Communications and Image Processing 2001, (29 December 2000); https://doi.org/10.1117/12.411854

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KEYWORDS

Image segmentation

Skin

Image processing algorithms and systems

Head

Image compression

Image filtering

Detection and tracking algorithms

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