Segmentation of visual motion by minimizing convex non-quadratic functionals

A minimization problem is proposed to combine smoothing of locally computed motion data (e.g. normal flow) with the detection of motion boundaries. The continuous formulation of the cost functional allows one to incorporate arbitrary continuity-equations which locally determine apparent motion, and...

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Bibliographic Details
Published inPattern Recognition, 1994 12th International Conference On. Vol. 1 Vol. 1; pp. 661 - 663 vol.1
Main Author Schnorr, C.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1994
Subjects
Analog computers
Computer networks
Concurrent computing
Cost function
Data flow computing
Equations
Finite element methods
Motion detection
Process control
Smoothing methods
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ISBN0818662654
9780818662652
DOI10.1109/ICPR.1994.576391

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Summary:A minimization problem is proposed to combine smoothing of locally computed motion data (e.g. normal flow) with the detection of motion boundaries. The continuous formulation of the cost functional allows one to incorporate arbitrary continuity-equations which locally determine apparent motion, and a nonlinear smoothing term adapts to the magnitude of the flow-gradient or to its components divergence, rotation, and shear. The approach has been designed such that gradient descent converges to a unique solution.
ISBN:0818662654
9780818662652
DOI:10.1109/ICPR.1994.576391