Non-Gaussian velocity distributions integrated over space, time, and scales
Volker Willert, Julian P. Eggert, Jürgen Adamy, Edgar Körner · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · 2006
Velocity distributions are an enhanced representation of image velocity containing more velocity information than velocity vectors. In particular, non-Gaussian velocity distributions allow for the representation of ambiguous motion information caused by the aperture problem or multiple motions at motion boundaries. To resolve motion ambiguities, discrete non-Gaussian velocity distributions are suggested, which are integrated over space, time, and scales using a joint Bayesian prediction and refinement approach. This leads to a hierarchical velocity-distribution representation from which robust velocity estimates for both slow and high speeds as well as statistical confidence measures rating the velocity estimates can be computed.