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This paper presents a novel approach for video adult detection using skin detection features with motion information. The goal of combining skin-color and motion information is to select the appropriate color model that allows verifying pixels under different lighting conditions and other variations. Then, the output videos are classified by neural network. The simulation shows that this system achieved 90% of the true rate.