SIA OpenIR  > 机器人学研究室
Snowflake removal for videos via global and local low-rank decomposition
Tian JD(田建东)1; Han Z(韩志)1; Ren WH(任卫红)1,2; Chen XA(陈希爱)1,2; Tang YD(唐延东)1
Department机器人学研究室
Source PublicationIEEE Transactions on Multimedia
ISSN1520-9210
2018
Volume20Issue:10Pages:2659-2669
Indexed BySCI ; EI
EI Accession number20180904838163
WOS IDWOS:000444903000010
Contribution Rank1
Funding OrganizationNatural Science Foundation of China ; Youth Innovation Promotion Association CAS
KeywordSnowflake Removal Desnowing Low-rank Decomposition
Abstract

Falling snow not only blocks human vision, but also significantly degrades the effectiveness of computer vision systems in outdoor environment. In this paper, we aim to remove snowflakes in videos by using the global and local low rank property of snowflake-removed scenes. The stationary background and the mixture of moving foreground as well as falling snowflake are extracted via the global low rank matrix decomposition. Some snowflake features, such as its color and size, are used to separate out the snowflakes from other moving objects. Then, the mean absolute difference based patch matching is applied to align every same moving object over frames to grab its low rank structure. As such, the falling snowflake in front of moving objects can be removed via the local low rank decomposition. Finally, the snowflake removed videos are generated by pasting moving foreground to stationary backgrounds. Experiments show that our method can remove snowflakes effectively and outperforms the comparison methods.

Language英语
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications
WOS KeywordRain Streaks Removal ; Image Decomposition ; Sparse
WOS Research AreaComputer Science ; Telecommunications
Funding ProjectNatural Science Foundation of China[91648118] ; Natural Science Foundation of China[61473280] ; Natural Science Foundation of China[61333019] ; Natural Science Foundation of China[61773367] ; Youth Innovation Promotion Association CAS
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/21578
Collection机器人学研究室
Corresponding AuthorTian JD(田建东)
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Shenyang China
2.University of Chinese Academy of Sciences, Beijing, China
Recommended Citation
GB/T 7714
Tian JD,Han Z,Ren WH,et al. Snowflake removal for videos via global and local low-rank decomposition[J]. IEEE Transactions on Multimedia,2018,20(10):2659-2669.
APA Tian JD,Han Z,Ren WH,Chen XA,&Tang YD.(2018).Snowflake removal for videos via global and local low-rank decomposition.IEEE Transactions on Multimedia,20(10),2659-2669.
MLA Tian JD,et al."Snowflake removal for videos via global and local low-rank decomposition".IEEE Transactions on Multimedia 20.10(2018):2659-2669.
Files in This Item: Download All
File Name/Size DocType Version Access License
Snowflake Removal fo(10436KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Tian JD(田建东)]'s Articles
[Han Z(韩志)]'s Articles
[Ren WH(任卫红)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Tian JD(田建东)]'s Articles
[Han Z(韩志)]'s Articles
[Ren WH(任卫红)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Tian JD(田建东)]'s Articles
[Han Z(韩志)]'s Articles
[Ren WH(任卫红)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Snowflake Removal for Videos via Global and Local Low-Rank Decomposition.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.