Detecting and extracting natural snow from videos

In this paper, we propose a new algorithm to detect and extract natural snow from video. We detect the snow particle from images or videos by a series of filters, and each of these filters can recognize the features of snow efficiently. We label snow in videos and extract the alpha value of the snow particles by alpha matting. Our method can be applied to many fields such as background reconstruction. Experimental results show that our method is effective.

Research highlights
► Detecting snow particle by a series of filters.
► Extracting snow particle by alpha matting.
► Reconstructing the background of snow scene by maximal saturation model.