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Proceedings Paper

Analysis of human motion in video imagery
Author(s): Alan M. Thomas; J. Michael Cathcart; Brian R. Kocher
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Paper Abstract

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.

Paper Details

Date Published: 27 April 2010
PDF: 8 pages
Proc. SPIE 7697, Signal Processing, Sensor Fusion, and Target Recognition XIX, 76971A (27 April 2010); doi: 10.1117/12.850571
Show Author Affiliations
Alan M. Thomas, Georgia Institute of Technology (United States)
J. Michael Cathcart, Georgia Institute of Technology (United States)
Brian R. Kocher, Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 7697:
Signal Processing, Sensor Fusion, and Target Recognition XIX
Ivan Kadar, Editor(s)

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