Spectral unmixing for tracking human motion in low resolution imagery

This paper discusses how colour/hue information can be used to track people in image sequences received from very low resolution sensors. The main colour spaces such as Normalised RGB, HSV, CIE L*a*b*and YCbCr have different advantages and disadvantages when applied to tracking in very low resolutio...

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Bibliographic Details
Published inJournal of physics. Conference series Vol. 76; no. 1; p. 012031
Main Authors Govinda, V, Ralph, J F, Spencer, J W, Goulermas, J Y
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.07.2007
Subjects
Algorithms
Color
Human motion
Image processing
Image resolution
Physics
Pixels
Remote sensing
Spectra
Tracking
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Summary:This paper discusses how colour/hue information can be used to track people in image sequences received from very low resolution sensors. The main colour spaces such as Normalised RGB, HSV, CIE L*a*b*and YCbCr have different advantages and disadvantages when applied to tracking in very low resolution imagery, where the objects of interest may be sub-pixel in size. Tests have been carried out to find out the best colour space or combination of colour spaces. Spectral unmixing algorithms, commonly used in remote sensing and multi-spectral image processing, were used to assist object tracking algorithms by decomposing pixel colour information into fractional contributions from backgrounds and skin.
ISSN:1742-6596
1742-6588
1742-6596
DOI:10.1088/1742-6596/76/1/012031