An image alignment based framework for ground vehicle tracking from an air-borne platform

Hong Zhang; Fei Yuan

doi:10.1117/12.774565

10 November 2007 An image alignment based framework for ground vehicle tracking from an air-borne platform

Hong Zhang, Fei Yuan

Proceedings Volume 6795, Second International Conference on Space Information Technology; 679549 (2007) https://doi.org/10.1117/12.774565
Event: Second International Conference on Spatial Information Technology, 2007, Wuhan, China

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.

Citation Download Citation

Hong Zhang and Fei Yuan "An image alignment based framework for ground vehicle tracking from an air-borne platform", Proc. SPIE 6795, Second International Conference on Space Information Technology, 679549 (10 November 2007); https://doi.org/10.1117/12.774565

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