Ferryman, J. M., Maybank, S. J. and Worrall, A. D. (2000) Visual surveillance for moving vehicles. International Journal of Computer Vision, 37 (2). pp. 187-197. ISSN 1573-1405 doi: 10.1023/A:1008155721192
Abstract/Summary
An overview is given of a vision system for locating, recognising and tracking multiple vehicles, using an image sequence taken by a single camera mounted on a moving vehicle. The camera motion is estimated by matching features on the ground plane from one image to the next. Vehicle detection and hypothesis generation are performed using template correlation and a 3D wire frame model of the vehicle is fitted to the image. Once detected and identified, vehicles are tracked using dynamic filtering. A separate batch mode filter obtains the 3D trajectories of nearby vehicles over an extended time. Results are shown for a motorway image sequence.
Altmetric Badge
| Item Type | Article |
| URI | https://reading-clone.eprints-hosting.org/id/eprint/18999 |
| Identification Number/DOI | 10.1023/A:1008155721192 |
| Refereed | Yes |
| Divisions | Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science |
| Uncontrolled Keywords | model-based vision, surveillance, traffic scene analysis, vehicle tracking, filtering |
| Publisher | Springer |
| Download/View statistics | View download statistics for this item |
University Staff: Request a correction | Centaur Editors: Update this record
Download
Download