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Robust and effective real-time visual tracking is realized by combining the first order differential invariants with the stochastic filtering. The Kaltnan filler as an optimal stochastic filter is used to estimate the motion parameters, narnely the plant state vector of the moving object with the unknown dynamics in successive image frames. Using the fact(More)
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