Abstract
A basic problem in the study of visual motion is determining temporal correspondence, which is commonly called tracking. The psychophysics community suggests that motion and stereo are cooperative processes, each aiding the other in deciding the final correspondences. In this article, we introduce an algorithm which uses a cooperative process between stereo and motion to attack the dynamic stereo problem. The algorithm, after isolating the objects to be tracking in each frame, lists the possible stereo matches in the left and right views which satisfy certain constraints. It then relies on a general smoothness of motion criterion using (1) the center of gravity of each object in each monocular view, (2) the sizes of the objects, as well as (3) the stereo disparities between possible matched stereo objects. Experiments using tennis balls shows the algorithm to be very promising.
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© 1991 Springer-Verlag Berlin Heidelberg
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Gordon, G.L. (1991). A cooperative algorithm for the dynamic stereo problem. In: Sherwani, N.A., de Doncker, E., Kapenga, J.A. (eds) Computing in the 90's. Great Lakes CS 1989. Lecture Notes in Computer Science, vol 507. Springer, New York, NY. https://doi.org/10.1007/BFb0038481
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DOI: https://doi.org/10.1007/BFb0038481
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