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Details van artikel 6 van 127 gevonden artikelen
| Titel: |
Adaptive Background subtraction in Dynamic Environments Using Fuzzy Logic |
| Auteur: |
Sivabalakrishnan.M Dr.D.Manjula |
| Verschenen in: |
International journal on computer science and engineering |
| Paginering: | Jaargang 2 (2010) nr. 2 pagina's 270-273 |
| Jaar: |
2010 |
| Inhoud: |
Extracting a background from an image is the enabling step for many high-level vision processing tasks, such as object tracking andactivity analysis. Although there are a number of object extraction algorithms proposed in the literature, most approaches work efficiently only in constrained environments where the background isrelatively simple and static. We extracted features from image regions, accumulated the feature information over time, fused high-level knowledge with low-level features, and built a time-varyingbackground model. A problem with our system is that by adapting the background model, objects moved are difficult to handle. In order to reinsert them into the background, we run the risk of cutting off part of the object. In this paper, we develop a fuzzy logic inference system to detach the moving object from the background. Our experimental results demonstrate that the fuzzy inference system is very efficient and robust. |
| Uitgever: |
Engg Journals Publications (provided by DOAJ) |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 6 van 127 gevonden artikelen
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