Background Modeling Using Adaptive Pixelwise Kernel Variances in a Hybrid Feature Space

5 Nov 2015Manjunath NarayanaAllen HansonErik Learned-Miller

Recent work on background subtraction has shown developments on two major fronts. In one, there has been increasing sophistication of probabilistic models, from mixtures of Gaussians at each pixel [7], to kernel density estimates at each pixel [1], and more recently to joint domainrange density estimates that incorporate spatial information [6]... (read more)

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