Kalman filter formulation of low-Level television image motion estimation

Abstract

The problem of television image motion estimation is formulated as an application of Kalman filter theory. The nonuniform image motion present in a television scene is represented as the state variable of a randomly driven difference equation. A new approach is then introduced for linearizing measurement equations that arise in low-level image vdocity… (More)
DOI: 10.1016/S0734-189X(83)80036-X

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