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Proceedings Paper

Pixel decomposition for tracking in low resolution videos
Author(s): Vivekanand Govinda; Jason F. Ralph; Joseph W. Spencer; John Y. Goulermas; Lihua Yang; Alaa M. Abbas
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Paper Abstract

This paper describes a novel set of algorithms that allows indoor activity to be monitored using data from very low resolution imagers and other non-intrusive sensors. The objects are not resolved but activity may still be determined. This allows the use of such technology in sensitive environments where privacy must be maintained. Spectral un-mixing algorithms from remote sensing were adapted for this environment. These algorithms allow the fractional contributions from different colours within each pixel to be estimated and this is used to assist in the detection and monitoring of small objects or sub-pixel motion.

Paper Details

Date Published: 16 April 2008
PDF: 11 pages
Proc. SPIE 6969, Signal and Data Processing of Small Targets 2008, 69690A (16 April 2008); doi: 10.1117/12.777502
Show Author Affiliations
Vivekanand Govinda, Univ. of Liverpool (United Kingdom)
Jason F. Ralph, Univ. of Liverpool (United Kingdom)
Joseph W. Spencer, Univ. of Liverpool (United Kingdom)
John Y. Goulermas, Univ. of Liverpool (United Kingdom)
Lihua Yang, Univ. of Liverpool (United Kingdom)
Alaa M. Abbas, Menoufia Univ. (Egypt)


Published in SPIE Proceedings Vol. 6969:
Signal and Data Processing of Small Targets 2008
Oliver E. Drummond, Editor(s)

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