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27 April 2010 Analysis of human motion in video imagery
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Human motion in visual and long-wave infrared video imagery is investigated. A simple moving target tracker is used to segment out the subject of interest in a video sequence. Pixel level changes of the subject's size and position within the image are then used to form a pair of signals. Standard techniques in signal processing are then applied to find features of interest. The long term goals of the work are to find a means for associating tracks of humans in optical video data with poorly resolved micro-Doppler RF signals, and to determine intent.
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Alan M. Thomas, J. Michael Cathcart, and Brian R. Kocher "Analysis of human motion in video imagery", Proc. SPIE 7697, Signal Processing, Sensor Fusion, and Target Recognition XIX, 76971A (27 April 2010);

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