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Proceedings Paper

Optical flow and depth from motion on the Connection Machine
Author(s): Massimo Tistarelli
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Paper Abstract

The Connection Machine has been demonstrated to be an efficient and fast computational engine for the solution of most vision problems. In this paper a system based on the Connection Machine is developed which is capable of computing the optic flow from image sequences at near real time, allowing the computation of one velocity field at a rate of 20 frames per second. Qualitative estimation of image motion allow the measurement of the "time to crash” of the objects in the scene; only local operations, which can be executed in parallel, are required. The system is shown to be robust with respect to a variety of noisy real image sequences; the optic flow can be computed with high accuracy, simply tuning the number of bits used for the computations and never changing much the computational speed. Several experiments performed on image sequences from real scenes are presented. An analysis of the performance of the system is carryed out together with a comparison with implementations of the same algorithm on other computing systems.

Paper Details

Date Published: 1 January 1990
PDF: 14 pages
Proc. SPIE 1293, Applications of Artificial Intelligence VIII, (1 January 1990); doi: 10.1117/12.21064
Show Author Affiliations
Massimo Tistarelli, Univ. of Genoa (Italy)


Published in SPIE Proceedings Vol. 1293:
Applications of Artificial Intelligence VIII
Mohan M. Trivedi, Editor(s)

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