Accessibility navigation

Visual surveillance for moving vehicles

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

Full text not archived in this repository.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1023/A:1008155721192


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.

Item Type:Article
Divisions:Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
ID Code:18999
Uncontrolled Keywords:model-based vision, surveillance, traffic scene analysis, vehicle tracking, filtering

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation