Name
Title | ||
|---|---|---|
Suitability of edge segment based moving object detection for real time video surveillance |
Abstract | ||
|---|---|---|
This paper investigates the suitability of the proposed edge segment based moving object detection for real time video surveillance. Traditional edge pixel based methods handle each edge pixel individually that is not suitable for robust matching, incorporating knowledge with edges, and tracking it. In the proposed method, extracted edges are represented as segments using an efficiently designed edge class and all the pixels belonging to a segment are processed together. This representation helps us to use the geometric information of edges to speed up detection process and enables incorporating knowledge into edge segments for robust matching and tracking. Experiments with real image sequences and comparisons with some existing methods illustrate the suitability of the proposed approach in moving object detection. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-74819-9_65 | KES (1) |
Keywords | Field | DocType |
robust matching,traditional edge pixel,edge segment,object detection,real time video surveillance,detection process,edge pixel,edge class,proposed edge segment,real time | Object detection,Computer vision,Computer science,Video tracking,Artificial intelligence,Chamfer distance,Pixel,Real image,Speedup | Conference |
Volume | ISSN | Citations |
4692 | 0302-9743 | 1 |
PageRank | References | Authors |
0.35 | 12 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Julius Hossain | 1 | 73 | 9.50 |
| M. Ali Akber Dewan | 2 | 79 | 9.53 |
| Oksam Chae | 3 | 616 | 46.52 |