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7 September 2010 Object tracking in real environments
Alexander M. Nelson, Jeremiah J. Neubert
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Proceedings Volume 7798, Applications of Digital Image Processing XXXIII; 77980O (2010) https://doi.org/10.1117/12.860749
Event: SPIE Optical Engineering + Applications, 2010, San Diego, California, United States
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.
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Alexander M. Nelson and Jeremiah J. Neubert "Object tracking in real environments", Proc. SPIE 7798, Applications of Digital Image Processing XXXIII, 77980O (7 September 2010); https://doi.org/10.1117/12.860749
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KEYWORDS
RGB color model
Printing
Optical tracking
Data modeling
Detection and tracking algorithms
Modeling
Cameras
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