Name
Abstract | ||
|---|---|---|
This paper proposes an efficient region-based background subtraction technique using static camera for motion detection in various monitoring applications. Color histograms, texture information, and successive division of candidate rectangular image regions are utilized to model the background and detect the motion. The proposed method combines this principle and the Gaussian mixture background modeling to produce a new method which out performs the classic Gaussian mixture background subtraction method. It has the advantages of filtering noise during image differentiation and providing a selectable level of detail for the contour of the moving shapes. Results show that our proposed method combined with Gaussian mixture outperforms results obtained with Gaussian mixture alone, particularly in the combination with MDPA distance. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/CRV.2008.16 | CRV |
Keywords | Field | DocType |
gaussian mixture,efficient region-based background subtraction,classic gaussian mixture background,gaussian mixture background,image differentiation,motion detection,candidate rectangular image region,new method,subtraction method,gaussian processes,computer vision,tv,pixel,noise filtering,background subtraction,application software,color histogram,filtering,computational modeling,level of detail,testing,image texture,histograms,layout | Background subtraction,Computer vision,Object detection,Color histogram,Motion detection,Pattern recognition,Computer science,Image texture,Filter (signal processing),Gaussian,Artificial intelligence,Gaussian process | Conference |
Citations | PageRank | References |
3 | 0.40 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Parisa Darvish Zadeh Varcheie | 1 | 71 | 6.18 |
| Michael Sills-Lavoie | 2 | 30 | 2.08 |
| Guillaume-Alexandre Bilodeau | 3 | 667 | 51.02 |