Name
Abstract | ||
|---|---|---|
This paper describes a real-time multi-camera surveillance system that can be applied to a range of application domains. This integrated system is designed to observe crowded scenes and has mechanisms to improve tracking of objects that are in close proximity. The four component modules described in this paper are (i) motion detection using a layered background model, (ii) object tracking based on local appearance, (iii) hierarchical object recognition, and (iv) fused multisensor object tracking using multiple features and geometric constraints. This integrated approach to complex scene tracking is validated against a number of representative real-world scenarios to show that robust, real-time analysis can be performed. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1155/2007/96568 | EURASIP J. Adv. Sig. Proc. |
Keywords | Field | DocType |
Object Recognition, Background Model, Geometric Constraint, Motion Detection, Object Tracking | Object detection,Computer vision,Motion detection,Object-oriented programming,Computer science,Systems design,Tracking system,Real-time operating system,Video tracking,Artificial intelligence,Cognitive neuroscience of visual object recognition | Journal |
Volume | Issue | ISSN |
2007 | 1 | 1687-6180 |
Citations | PageRank | References |
9 | 0.65 | 13 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Thirde | 1 | 79 | 5.00 |
| Mark Borg | 2 | 67 | 3.67 |
| Josep Aguilera | 3 | 18 | 1.70 |
| Horst Wildenauer | 4 | 126 | 12.81 |
| James M. Ferryman | 5 | 560 | 52.31 |
| Martin Kampel | 6 | 141 | 10.92 |