Name
Abstract | ||
|---|---|---|
Background subtraction is a popular technique in video surveillance. In order to use it, a background model must be built and updated according to light and scenario changes. We discuss in this paper a new algorithm (BAC) which creates or restores a background model based on the behaviour of pixels in successive frames, while performs a segmentation of objects in the scene yielding a confidence value for the obtained background, a problem which is addressed by few methods in the literature. This allows us to fulfil the requirement of producing a model, for instance in scenarios like airport halls, without interfering normal operation and still segment scenes. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICPR.2008.4761047 | Tampa, FL |
Keywords | Field | DocType |
image reconstruction,image restoration,image segmentation,video surveillance,background algorithm with confidence,background subtraction,confidence value,image restoration,object segmentation,reconstruct background model,video surveillance | Computer vision,Computer science,Artificial intelligence,Machine learning | Conference |
ISSN | ISBN | Citations |
1051-4651 E-ISBN : 978-1-4244-2175-6 | 978-1-4244-2175-6 | 1 |
PageRank | References | Authors |
0.37 | 4 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan Alfonso Rosell Ortega | 1 | 4 | 2.14 |
| Gabriela Andreu García | 2 | 30 | 6.03 |
| Ángel Rodas Jordá | 3 | 2 | 1.08 |
| Vicente Luis Atienza Vanacloig | 4 | 6 | 3.78 |
| Rosell-Ortega, J. | 5 | 1 | 0.37 |
| Andreu-Garcia, G. | 6 | 3 | 0.75 |
| Rodas-Jorda, A. | 7 | 1 | 0.37 |
| Atienza-Vanacloig, V. | 8 | 1 | 0.37 |