An algorithm of adaptive video denoising base on spatio-temporal combination is demonstrated. The adaptive threshold function is obtained through unary linear regression analysis combining interval estimation and hypothesis test. By motion detection to multi-frame images, still regions and motion regions of video image are distinguished through the adaptive threshold. Temporal weighted average filter to the still regions and spatial ANL filter to the motion regions are used separately. Experimental results show that the proposed algorithm works well.