Name
Abstract | ||
|---|---|---|
This paper presents a new method for moving object detection under varying illuminations. The key idea of the proposed method is to reconstruct moving objects from edges computed on the result of frame differencing, the so-called edges of residuals. This scheme forces lighting variations to be efficiently suppressed in the gradient space while preserving the boundary of moving objects. The inner areas of moving objects are subsequently reconstructed by utilizing image gradients of the original frame, which are masked by edges of residuals, in a least-square sense. One important advantage of the proposed method is to uniformly highlight moving objects regardless of their scales. Experimental results on various databases demonstrate that the proposed method is effective for moving object detection under diverse lighting conditions. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s00530-018-0593-x | Multimedia Systems |
Keywords | Field | DocType |
Moving object detection,Varying illuminations,Edges of residuals,Frame differencing,Least square | Least squares,Computer vision,Object detection,Computer science,Real-time computing,Artificial intelligence | Journal |
Volume | Issue | ISSN |
25.0 | 3 | 1432-1882 |
Citations | PageRank | References |
0 | 0.34 | 32 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wonjun Kim | 1 | 301 | 26.50 |