Segmentation of Dynamic Scenes from Image Intensities

Rene Vidal
(Professor S. Shankar Sastry)
(ONR) N00014-00-1-0621

We present an algebraic geometric approach for segmenting both static and dynamic scenes from image intensities. We introduce the multibody affine constraint as a geometric relationship between the motion of multiple objects and the image intensities generated by them. This constraint is satisfied by all the pixels, regardless of the body to which they belong and regardless of depth discontinuities or perspective effects. We propose a polynomial factorization technique that estimates the number of affine motion models as well as their motion parameters in polynomial time. The factorization technique is used to initialize a nonlinear algorithm that minimizes the algebraic error defined by the multibody affine constraint. Our approach is based solely on image intensities, hence it does not require feature tracking or correspondences. It is therefore a natural generalization of the so-called direct methods in single-body structure from motion to multiple moving objects. We present simulation and experimental results that validate our approach.

[1]
R. Vidal and S. Sastry, "Segmentation of Dynamic Scenes from Image Intensities," IEEE Workshop on Motion and Video Computing, Orlando, FL, December 2002.

More information (http://www.eecs.berkeley.edu/~rvidal/) or

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