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Video Desnowing and Deraining Based on Matrix Decomposition
文献类型：会议论文
| 作者 | Tian JD(田建东) ; Ren WH(任卫红); Han Z(韩志); Chan,Antoni; Tang YD(唐延东)
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| 出版日期 | 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)
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| 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 |
| 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. |
入库方式： OAI收割
来源：沈阳自动化研究所
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