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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

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To link to this article 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.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of Systems Engineering
ID Code:18999
Uncontrolled Keywords:model-based vision, surveillance, traffic scene analysis, vehicle tracking, filtering
Publisher:Springer

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