We explore intelligent motion detecting using compressed sensing. Starting from the proof-of-concept that motion can be detected, we have created an algorithm to deterministically compute the speed of a known object under idealized conditions. We provide an explanation of its validity based on Parseval’s Theorem and propose an upper velocity resolution limit for our computation. A framework is provided for extending our work with support vector machines to automatically classify observed motion.
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