10 May 2005 Target tracking, moving target detection, stabilisation and enhancement of airborne video
Author Affiliations +
The ability to automatically detect and track moving targets whilst stabilizing and enhancing the incoming video would be highly beneficial in a range of aerial reconnaissance scenarios. We have implemented a number of image-processing algorithms on our ADEPT hardware to perform these and other useful tasks in real-time. Much of this functionality is currently being migrated onto a smaller PC104 form-factor implementation that would be ideal for UAV applications. In this paper, we show results from both software and hardware implementations of our current suite of algorithms using synthetic and real airborne video. We then investigate an image processing architecture that integrates mosaic formation, stabilisation and enhancement functionality using micro-mosaics, an architecture which yields benefits for all the processes.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. Dale, J. Dale, D. Scott, D. Scott, D. Dwyer, D. Dwyer, J. Thornton, J. Thornton, } "Target tracking, moving target detection, stabilisation and enhancement of airborne video", Proc. SPIE 5787, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications II, (10 May 2005); doi: 10.1117/12.603509; https://doi.org/10.1117/12.603509


Automated sea floor extraction from underwater video
Proceedings of SPIE (May 16 2016)
Multi-image registration for an enhanced vision system
Proceedings of SPIE (August 07 2003)
Short-term change detection for UAV video
Proceedings of SPIE (November 07 2012)
START for evaluation of target detection and tracking
Proceedings of SPIE (May 18 2005)
Multi-target tracking in clutter
Proceedings of SPIE (June 24 2002)
Image registration: a key element for information processing
Proceedings of SPIE (November 12 2001)

Back to Top