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Proceedings Paper

Motion field estimation for complex scenes
Author(s): Johannes Nicolaas Driessen; Jan Biemond
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Paper Abstract

The estimation of motion fields from an image sequence is a difficult problem for scenes containing moving and overlapping objects. In these cases, the problem is to simultaneously estimate the motion field and detect both the motion discontinuity and the uncovered region. We propose a new model that is based on three simple first order coupled Markov Random Fields (MRF’s), where the coupling accounts for the interaction between the three processes. The simultaneous problem is then reformulated as the minimization of an energy function associated with the chosen MRF’s. This is a non-trivial minimization problem due to the binary nature of the motion discontinuities and the uncovered regions. We propose the use of a Deterministic Annealing algorithm, which can be interpreted as an interleaved iterative technique using continuation methods for the binary processes. Experimental results show that such an approach indeed leads to the detection of motion boundaries and uncovered regions, which in turn leads to a more accurate motion field estimate near the motion boundaries as well as the uncovered regions.

Paper Details

Date Published: 1 November 1991
PDF: 11 pages
Proc. SPIE 1605, Visual Communications and Image Processing '91: Visual Communication, (1 November 1991); doi: 10.1117/12.50237
Show Author Affiliations
Johannes Nicolaas Driessen, Delft Univ. of Technology (Netherlands)
Jan Biemond, Delft Univ. of Technology (Netherlands)

Published in SPIE Proceedings Vol. 1605:
Visual Communications and Image Processing '91: Visual Communication
Kou-Hu Tzou; Toshio Koga, Editor(s)

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