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Proceedings Paper

Object tracking in real environments
Author(s): Alexander M. Nelson; Jeremiah J. Neubert
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Paper Abstract

Modern tracking methods typically rely on features to track objects. These methods function best with objects containing distinguishable features. Previously we proposed a graph cuts approach that utilizes intensity changes and the likelihood that the RGB intensities associated with a pixel belong to the object. We propose a new method that models the RGB tuple as a single random variable. This allows for more robust segmentation, but requires more data to construct the color model.The results show the ability of the method to tracking in a varity environments and with a large variety of objects.

Paper Details

Date Published: 7 September 2010
PDF: 7 pages
Proc. SPIE 7798, Applications of Digital Image Processing XXXIII, 77980O (7 September 2010); doi: 10.1117/12.860749
Show Author Affiliations
Alexander M. Nelson, The Univ. of North Dakota (United States)
Jeremiah J. Neubert, The Univ. of North Dakota (United States)

Published in SPIE Proceedings Vol. 7798:
Applications of Digital Image Processing XXXIII
Andrew G. Tescher, Editor(s)

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