Name
Title | ||
|---|---|---|
Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements. |
Abstract | ||
|---|---|---|
Background subtraction has been a fundamental and widely studied task in video analysis, with a wide range of applications in video surveillance, teleconferencing, and 3D modeling. Recently, motivated by compressive imaging, background subtraction from compressive measurements (BSCM) is becoming an active research task in video surveillance. In this paper, we propose a novel tensor-based robust pr... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TIP.2016.2579262 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Correlation,Tensile stress,Three-dimensional displays,Image coding,Solid modeling,Imaging,Robustness | Background subtraction,Object detection,Computer vision,Pattern recognition,Tensor,Robustness (computer science),Robust principal component analysis,Solid modeling,Artificial intelligence,Tucker decomposition,3D modeling,Mathematics | Journal |
Volume | Issue | ISSN |
25 | 9 | 1057-7149 |
Citations | PageRank | References |
24 | 0.68 | 53 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenfei Cao | 1 | 61 | 4.25 |
| Yao Wang | 2 | 55 | 3.55 |
| Jian Sun | 3 | 839 | 42.32 |
| Deyu Meng | 4 | 2025 | 105.31 |
| Can Yang | 5 | 726 | 43.12 |
| Andrzej Chichocki | 6 | 97 | 23.31 |
| Zongben Xu | 7 | 3203 | 198.88 |