Name
Abstract | ||
|---|---|---|
This paper presents an edge extraction based automatic algorithm for detection of moving objects that have been specially developed to deal with the variations in illumination and background. We develop an efficient approach for background edge generation as well as update and robust method of edge matching that is able to effectively reduce the risk of false alarm. The proposed method can be successfully realized in various monitoring systems like intrusion detection as well as video surveillance. Experiments with real image sequences are presented, along with comparisons with some other existing methods, illustrating the advantages of the proposed algorithm. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11554028_50 | KES (4) |
Keywords | Field | DocType |
efficient approach,edge extraction,existing method,object detection,robust method,edge matching,dynamic environment,proposed algorithm,intrusion detection,automatic algorithm,background edge generation | Computer vision,Object detection,False alarm,Object-oriented programming,Edge detection,Computer science,Image processing,Artificial intelligence,Real image,Constant false alarm rate,Intrusion detection system | Conference |
Volume | ISSN | ISBN |
3684 | 0302-9743 | 3-540-28897-X |
Citations | PageRank | References |
4 | 0.49 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Julius Hossain | 1 | 73 | 9.50 |
| Kiok Ahn | 2 | 16 | 3.13 |
| June Hyung Lee | 3 | 4 | 0.49 |
| Oksam Chae | 4 | 616 | 46.52 |