Name
Abstract | ||
|---|---|---|
The background subtraction is an important technique in computer vision which segments moving objects into video sequences by comparing each new frame with a learned background model. In this work, the authors propose a novel background subtraction method based on Gaussian-Bernoulli restricted Boltzmann machines (GRBMs). The GRBM is different from the ordinary restricted Boltzmann machine (RBM) by... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1049/iet-ipr.2017.1055 | IET Image Processing |
Keywords | Field | DocType |
Boltzmann machines,computer vision,Gaussian distribution,image resolution,image segmentation,image sequences | Background subtraction,Restricted Boltzmann machine,Boltzmann machine,Pattern recognition,Gaussian,Pixel,Artificial intelligence,Mixture model,Mathematics,Bernoulli's principle,Generative model | Journal |
Volume | Issue | ISSN |
12 | 9 | 1751-9659 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ahmad Muqeem Sheri | 1 | 21 | 4.01 |
| Muhammad Aasim Rafique | 2 | 8 | 1.28 |
| Moongu Jeon | 3 | 456 | 72.81 |
| W. Pedrycz | 4 | 13966 | 1005.85 |