Name
Abstract | ||
|---|---|---|
This paper introduces a novel approach to background modelling. We propose using initially a method to extract scene parameters from a sequence of frames. These parameters, together with an initial background model, are used as a starting point for a background subtraction method based on fuzzy logic. Our method permits modelling the background and detecting moving objects in a video sequence without user intervention. The algorithm is designed to work with CIEL*a*b* coordinates with multi modal support and eludes user parameters or fixed or probabilistic thresholds usually found in the traditional background subtraction methods. Quantitative and qualitative results obtained with a well-known benchmark and comparisons with other approaches justify the model. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICPR.2010.1154 | ICPR |
Keywords | Field | DocType |
object tracking,background subtraction,fuzzy logic | Background subtraction,Histogram,Computer vision,Pattern recognition,Computer science,Fuzzy logic,Video tracking,Artificial intelligence,Pixel,Probabilistic logic,Benchmark (computing),Modal | Conference |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
4 | ||
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 |