17 citations · 60 across the 18 of their papers we have counts for
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cs.CV2017
Tracking in Aerial Hyperspectral Videos using Deep Kernelized Correlation Filters
Burak Uzkent, Aneesh Rangnekar, Matthew J. Hoffman
Hyperspectral imaging holds enormous potential to improve the state-of-the-art in aerial vehicle tracking with low spatial and temporal resolutions. Recently, adaptive multi-modal…
cs.CV2017★ 6 cited
Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps
Burak Uzkent, Aneesh Rangnekar, M. J. Hoffman
Hyperspectral cameras can provide unique spectral signatures for consistently distinguishing materials that can be used to solve surveillance tasks. In this paper, we propose a nov…