Tracking vehicles as groups in airborne videos
Neurocomputing
A system for live geo-spatial photogrammetry in airborne surveillance videos
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
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This paper describes a moving target indication and tracking system developed for acquiring and tracking targets in video from moving sensors, in particular airborne urban surveillance video. The paradigm of the moving sensor, which is a typical scenario in defence applications (e.g. UAV surveillance video), poses some unique problems as compared to the stationary sensor. Our solution draws on a number of algorithms from the vision and tracking communities and combines them as a novel solution to the problem. Moreover, given a suitable cluster of conventional hardware, the system allows a near real-time solution to MTI.