Dealing with multiple motions in optical flow estimation

Authors:
Jesús Chamorro-Martínez;Javier Martínez-Baena;Elena Galán-Perales;Beén Prados-Suárez
Affiliations:
Department of Computer Science and Artificial Intelligence, University of Granada, Spain;Department of Computer Science and Artificial Intelligence, University of Granada, Spain;Department of Computer Science and Artificial Intelligence, University of Granada, Spain;Department of Computer Science and Artificial Intelligence, University of Granada, Spain
Venue:
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
Year:
2005

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Abstract

In this paper, a new approach to optical flow estimation in presence of multiple motions is presented. Firstly, motions are segmented on the basis of a frequency-based approach that groups spatio-temporal filter responses with continuity in its motion (each group will define a motion pattern). Then, the gradient constraint is applied to the output of each filter so that multiple estimations of the velocity at the same location may be obtained. For each “motion pattern”, the velocities at a given point are then combined using a probabilistic approach. The use of “motion patterns” allows multiple velocities to be represented, while the combination of estimations from different filters helps reduce the aperture problem.