Title :
Segmentation of dynamic scenes from image intensities
Author :
Vidal, Rene ; Sastry, Shankar
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
Abstract :
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.
Keywords :
image segmentation; image sequences; minimisation; motion estimation; parameter estimation; polynomials; algebraic geometric approach; algebraic minimization; dynamic scene segmentation; image intensities; motion estimation; multibody affine constraint; polynomial factorization; visual motion analysis; Cameras; Computer vision; Image generation; Image segmentation; Iterative algorithms; Layout; Motion analysis; Motion estimation; Motion segmentation; Polynomials;
Conference_Titel :
Motion and Video Computing, 2002. Proceedings. Workshop on
Print_ISBN :
0-7695-1860-5
DOI :
10.1109/MOTION.2002.1182212