25 September 2003 Face detection and recognition system for news videos
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Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.538823
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China
Abstract
This paper combines the template-based method and color-based scheme to construct an adaptive skin-color model for human face detection in news videos. A heuristic rule-based decision tree is then employed to verify the resulting skin-color regions. The skin-color model comes from the sample pixels from the target video shots, so well tuned to adapt to various videos. It is a general scheme for color-segmentation, not depend on any pre-defined skin-color range. Our experiments shows that the face detection performance has been improved greatly, compared with the pure template based face detector. The face retrieval module is based on the Self-Eigenface method, where the Self-Eigenface space is constructed from the pseudo frontal faces obtained by region tracking.
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Mei Huang, Mei Huang, Xinghua Sun, Xinghua Sun, Guoying Jing, Guoying Jing, Guangyou Xu, Guangyou Xu, "Face detection and recognition system for news videos", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.538823; https://doi.org/10.1117/12.538823
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