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Uas-Based Object Tracking Via Deep Learning, Marc Dinh
Uas-Based Object Tracking Via Deep Learning, Marc Dinh
UNLV Theses, Dissertations, Professional Papers, and Capstones
Tracking is the task of identifying an object of interest and detect its position over time, and has numerous applications like surveillance, security and traffic control. In present times, unmanned aerial vehicles (UAV) have been more and more common which provides us with a new and less explored domain, with an ideal vantage point for surveillance and monitoring applications.. Aerial tracking is a particularly challenging task as it introduces new environmental variables such as rapid motion in 3D space. We propose a new deep learned tracker architecture catered to aerial tracking.
First, a study of six state-of-the-art deep learned trackers …