대한전자공학회:학술대회논문집 (Proceedings of the IEEK Conference)
- 대한전자공학회 1999년도 하계종합학술대회 논문집
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- Pages.579-582
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- 1999
신경망과 적응적 스킨 칼라 모델을 이용한 얼굴 영역 검출 기법
Human Face Detection from Still Image using Neural Networks and Adaptive Skin Color Model
초록
In this paper, we propose a human face detection algorithm using adaptive skin color model and neural networks. To attain robustness in the changes of illumination and variability of human skin color, we perform a color segmentation of input image by thresholding adaptively in modified hue-saturation color space (TSV). In order to distinguish faces from other segmented objects, we calculate invariant moments for each face candidate and use the multilayer perceptron neural network of backpropagation algorithm. The simulation results show superior performance for a variety of poses and relatively complex backgrounds, when compared to other existing algorithm.
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