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Proceedings Paper

An image alignment based framework for ground vehicle tracking from an air-borne platform
Author(s): Hong Zhang; Fei Yuan
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Paper Abstract

Ground vehicle tracking is an important component of Aerial Video Surveillance System (AVS), which has important military and civilian uses. This paper presents an image alignment based framework for ground vehicle tracking from an air-borne platform, which can precisely track a pointed out vehicle and get back it when it reappear. We track a set of point features of the selected vehicle by the technique of image alignment. An edge feature-based outlier rejection criterion, a Kalman filter and a reappearance verification program are used to make the proposed tracking system perform excellently under complicated conditions. Experimental results on real aerial images show that the proposed framework is rational and robust.

Paper Details

Date Published: 10 November 2007
PDF: 6 pages
Proc. SPIE 6795, Second International Conference on Space Information Technology, 679549 (10 November 2007); doi: 10.1117/12.774565
Show Author Affiliations
Hong Zhang, Beihang Univ. (China)
Fei Yuan, Beihang Univ. (China)


Published in SPIE Proceedings Vol. 6795:
Second International Conference on Space Information Technology

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