Nicholas J. Redding

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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(More)
Many computer vision methods rely on frame registration information obtained with algorithms such as the Kanade-Lucas-Tomasi (KLT) feature tracker, which is known for its excellent performance in that area. Various research groups proposed methods to extend its performance, both in terms of execution time and stability. Recent research has shown that(More)
This report presents a review of a video moving target indication (VMTI) capability implemented in the Analysts' Detection Support System (ADSS). The VMTI subsystem has been devised for video from moving sensors, in particular, but not exclusively, airborne urban surveillance video. The paradigm of the moving sensor, which is a typical scenario in defence(More)
This paper reviews how image formation or reconstruction in synthetic aperture radar (SAR) in two and three dimensions can be viewed as the inversion of the circular and spherical Radon transforms, respectively. The advantage of viewing image formation in this way is that it could be used in situations where more standard methods could fail, such as high(More)
The persistent airborne surveillance of large geographical areas is now a viable proposition. As well as providing cues to moving objects, it presents new opportunities for understanding the behaviours and motivations of people, both individually and collectively. Exploitation of these huge collections of imagery (a facet of the Big Data challenge) requires(More)