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Proceedings Paper

Generic target tracking using color
Author(s): Yue Du; Jill D. Crisman
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Paper Abstract

In this paper, we propose a method for quantitatively analyzing the performance of tracking algorithms for generic objects (objects about which the system has no prior knowledge). The sensitivity of algorithms are measured as a function of changes in scale, rotation, clipping, and brightness. We then compare our quantitative measures with a subjective evaluation of the algorithm's performance on real-world images. We use a simple color-based matched filtering algorithm to illustrate the method.

Paper Details

Date Published: 6 August 1993
PDF: 9 pages
Proc. SPIE 2056, Intelligent Robots and Computer Vision XII: Active Vision and 3D Methods, (6 August 1993); doi: 10.1117/12.150228
Show Author Affiliations
Yue Du, Northeastern Univ. (United States)
Jill D. Crisman, Northeastern Univ. (United States)


Published in SPIE Proceedings Vol. 2056:
Intelligent Robots and Computer Vision XII: Active Vision and 3D Methods
David P. Casasent, Editor(s)

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