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Illumination change is an important factor that affects the accuracy of tracking. In order to enhance the robustness against illumination changes in directions and intensities of the conventional tracking approaches, this paper proposes to apply color invariance theory to maneuvering target tracking. To depress the influence of the background, at the beginning of the process, we use expectation maximization...
We propose a similarity measure based on a spatial-color mixture of Gaussians (SMOG) appearance model for particle filters. This improves on the popular similarity measure based on color histograms because it considers not only the colors in a region but also the spatial layout of the colors. Hence, the SMOG-based similarity measure is more discriminative. To efficiently compute the parameters for...
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