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Generic target tracking using color

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.