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Recovering 3D motion of multiple objects using adaptive Hough transform

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2 Author(s)
Yu Tian, T. ; Dept. of Comput. Sci., Univ. of Central Florida, Orlando, FL, USA ; Shah, M.

Presents a method to determine the 3D motion of multiple objects from two perspective views. In our method, segmentation is determined based on a 3D rigidity constraint. We divide the input image into overlapping patches, and for each sample of the translation parameter space, we compute the rotation parameters of patches using a least-squares fit. Every patch votes for a sample in the translation and rotation parameter space. For a patch containing multiple motions, we use an M-estimator to compute rotation parameters of a dominant motion. We use the adaptive Hough transform to refine the relevant parameter space in a “coarse-to-fine” fashion. Applications of the proposed method to both synthetic and real images are demonstrated with promising results

Published in:

Computer Vision, 1995. Proceedings., Fifth International Conference on

Date of Conference:

20-23 Jun 1995