Name
Abstract | ||
|---|---|---|
In this paper we address a moving object segmentation technique for a video monitoring system. This is approached by means of active contours which appear to be an efficient tool for the spatio-temporal data analysis from 2D image sequences. Particularly we make use of a new active contour concept: the pixel-level snakes whose characteristics allow a high control on the contour evolution and approach topological transformations with a low computational cost. The proposal is focused in the traffic monitoring and the incident detection systems. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1007/978-3-540-44871-6_124 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
active contour | Active contour model,Computer vision,Monitoring system,Pattern recognition,Control zone,Segmentation,Computer science,Edge detection,Image segmentation,Artificial intelligence,Pixel,Cellular neural network | Conference |
Volume | ISSN | Citations |
2652 | 0302-9743 | 1 |
PageRank | References | Authors |
0.45 | 11 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| d l vilarino | 1 | 60 | 9.79 |
| Diego Cabello | 2 | 35 | 6.17 |
| Xose Manuel Pardo | 3 | 42 | 5.30 |
| Victor M. Brea | 4 | 62 | 19.23 |