Detecting and extracting natural snow from videos

Authors:
Yang Shen;LiZhuang Ma;Hai Liu;Yanxia Bao;Zhihua Chen
Affiliations:
Shanghai Jiaotong University, China;Shanghai Jiaotong University, China;Shanghai Jiaotong University, China;Anhui Industrial and Vocational and Technical College, China;Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China and State Key Laboratory for Novel Software Technology, Nanjing University, ...
Venue:
Information Processing Letters
Year:
2010

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Abstract

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.