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

^*Corresponding author for this work

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

Research output: Contribution to journal › Article › peer-review

15 Scopus citations

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.

Original language	English
Pages (from-to)	1124-1130
Number of pages	7
Journal	Information Processing Letters
Volume	110
Issue number	24
DOIs	https://doi.org/10.1016/j.ipl.2010.10.003
State	Published - 30 Nov 2010
Externally published	Yes

Keywords

Alpha matting
Design of algorithm
Snow
Video

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10.1016/j.ipl.2010.10.003

Cite this

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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.",

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year = "2010",

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AU - Shen, Yang

AU - Ma, Lizhuang

AU - Liu, Hai

AU - Bao, Yanxia

AU - Chen, Zhihua

PY - 2010/11/30

Y1 - 2010/11/30

N2 - 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.

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.

KW - Alpha matting

KW - Design of algorithm

KW - Snow

KW - Video

UR - https://www.scopus.com/pages/publications/77958617162

U2 - 10.1016/j.ipl.2010.10.003

DO - 10.1016/j.ipl.2010.10.003

M3 - 文章

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Detecting and extracting natural snow from videos

Abstract

Keywords

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