Video Desnowing and Deraining Based on Matrix Decomposition

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 机器人学研究室

	Video Desnowing and Deraining Based on Matrix Decomposition
	Tian JD(田建东); Ren WH(任卫红); Han Z(韩志); Chan,Antoni ; Tang YD(唐延东)
	2017
会议名称	30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017)
会议日期	July 21-26, 2017
会议地点	Honolulu, USA
页码	2838-2847
通讯作者	Tian JD(田建东)
中文摘要	The existing snow/rain removal methods often fail for heavy snow/rain and dynamic scene. One reason for the failure is due to the assumption that all the snowflakes/rain streaks are sparse in snow/rain scenes. The other is that the existing methods often can not differentiate moving objects and snowflakes/rain streaks. In this paper, we propose a model based on matrix decomposition for video desnowing and deraining to solve the problems mentioned above. We divide snowflakes/rain streaks into two categories: sparse ones and dense ones. With background fluctuations and optical flow information, the detection of moving objects and sparse snowflakes/rain streaks is formulated as a multi-label Markov Random Fields (MRFs). As for dense snowflakes/rain streaks, they are considered to obey Gaussian distribution. The snowflakes/rain streaks, including sparse ones and dense ones, in scene backgrounds are removed by low-rank representation of the backgrounds. Meanwhile, a group sparsity term in our model is designed to filter snow/rain pixels within the moving objects. Experimental results show that our proposed model performs better than the state-of-the-art methods for snow and rain removal.
收录类别	EI ; CPCI（ISTP）
产权排序	1
会议录	30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017)
会议录出版者	IEEE
会议录出版地	New York
语种	英语
ISSN号	1063-6919
ISBN号	978-1-5386-0457-1
WOS记录号	WOS:000418371402095
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/21359]
专题	沈阳自动化研究所_机器人学研究室
作者单位	1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences 2.City University of Hong Kong 3.University of Chinese Academy of Sciences
推荐引用方式 GB/T 7714	Tian JD,Ren WH,Han Z,et al. Video Desnowing and Deraining Based on Matrix Decomposition[C]. 见:30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017). Honolulu, USA. July 21-26, 2017.