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Human Detection Using Radar
Skácel, Jan ; Zemčík, Pavel (referee) ; Maršík, Lukáš (advisor)
This work is focused on the design and implementation of algorithm for human detection in real time using a continuous wave radar. Classification of people is based on doppler signatures produced when they walk. Fourier transform techniques were used to analyze these signatures   and key features were identified that are very representative of the human walking motion.  On the basis of design, the C++ application that process radar signal and detects human is implemented. Last part of this work is focused on algorithm evaluation.

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