Name
Title | ||
|---|---|---|
Efficient moving object segmentation algorithm for illumination change in surveillance system |
Abstract | ||
|---|---|---|
An efficient algorithm to segment the moving object is very important in the surveillance system. In general, the change detection by comparing brightness value is a good and simple method, but it shows a poor performance under illumination change. Therefore, we propose the segmentation algorithm to extract effectively the object in spite of the illumination change. There are three modes to extract the object, the criteria of mode selection are both available background existence and illumination change. Then the object is finally obtained by using projection and the morphological operator in post-processing. Furthermore, the double binary method using the similarity of brightness value and spatial proximity is used to obtain more edge information. A good segmentation performance is demonstrated by the simulation result. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11559573_99 | ICIAR |
Keywords | Field | DocType |
available background existence,poor performance,change detection,segmentation algorithm,simple method,illumination change,good segmentation performance,double binary method,surveillance system,object segmentation algorithm,brightness value,efficient algorithm | Change detection,Computer science,Projection (linear algebra),Artificial intelligence,Similitude,Computer vision,Initial and terminal objects,Pattern recognition,Segmentation,Mathematical morphology,Algorithm,Luminance,Brightness | Conference |
Volume | ISSN | ISBN |
3656 | 0302-9743 | 3-540-29069-9 |
Citations | PageRank | References |
1 | 0.36 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tae-Yeon Jung | 1 | 1 | 0.70 |
| Ju-Young Kim | 2 | 1 | 0.36 |
| Duk-Gyoo Kim | 3 | 3 | 2.09 |