Visual surveillance for moving vehicles

Full text not archived in this repository.

Please see our End User Agreement.

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

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

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

Search Google Scholar