Detecting and extracting natural snow from videos

Yang Shen; Lizhuang Ma; Hai Liu; Yanxia Bao; Zhihua Chen

doi:10.1016/j.ipl.2010.10.003

Detecting and extracting natural snow from videos

Yang Shen^*
, Lizhuang Ma
, Hai Liu
, Yanxia Bao
, Zhihua Chen

^*此作品的通讯作者

Shanghai Jiao Tong University
Anhui Industrial and Vocational and Technical College
East China University of Science and Technology
Nanjing University

科研成果: 期刊稿件 › 文章 › 同行评审

15 引用（Scopus）

摘要

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.

源语言	英语
页（从-至）	1124-1130
页数	7
期刊	Information Processing Letters
卷	110
期	24
DOI	https://doi.org/10.1016/j.ipl.2010.10.003
出版状态	已出版 - 30 11月 2010
已对外发布	是

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10.1016/j.ipl.2010.10.003

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AU - Ma, Lizhuang

AU - Liu, Hai

AU - Bao, Yanxia

AU - Chen, Zhihua

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Y1 - 2010/11/30

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AB - 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.

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KW - Design of algorithm

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Detecting and extracting natural snow from videos

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