Pixel decomposition for tracking in low resolution videos

Vivekanand Govinda; Jason F. Ralph; Joseph W. Spencer; John Y. Goulermas; Lihua Yang; Alaa M. Abbas

doi:10.1117/12.777502

16 April 2008 Pixel decomposition for tracking in low resolution videos

Vivekanand Govinda, Jason F. Ralph, Joseph W. Spencer, John Y. Goulermas, Lihua Yang, Alaa M. Abbas

Proceedings Volume 6969, Signal and Data Processing of Small Targets 2008; 69690A (2008) https://doi.org/10.1117/12.777502
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

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.

Citation Download Citation

Vivekanand Govinda, Jason F. Ralph, Joseph W. Spencer, John Y. Goulermas, Lihua Yang, and Alaa M. Abbas "Pixel decomposition for tracking in low resolution videos", Proc. SPIE 6969, Signal and Data Processing of Small Targets 2008, 69690A (16 April 2008); https://doi.org/10.1117/12.777502

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