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Proceedings Paper

Target extraction and optical flow determination from fused sensor information
Author(s): Timothy Myles Payne
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Paper Abstract

A parallel algorithm is presented for the extraction of the optical flow in an image which has a noisy background. The approach generalizes to higher dimensional spaces so that it can also be used to model the evolution of an n dimensional noisy signal, by assuming that valid signal points adhere to a restricted domain of temporal models, while noise points don't. By analyzing the flow and input field, hypothesis regarding targets are determined. These hypothesis can be fused with other sensors and the global hypothesis fed back to the mapping unit to improve the determination of the optical flow.

Paper Details

Date Published: 3 September 1993
PDF: 12 pages
Proc. SPIE 1955, Signal Processing, Sensor Fusion, and Target Recognition II, (3 September 1993); doi: 10.1117/12.154973
Show Author Affiliations
Timothy Myles Payne, Univ. of Adelaide/South Australia (Australia)


Published in SPIE Proceedings Vol. 1955:
Signal Processing, Sensor Fusion, and Target Recognition II
Ivan Kadar; Vibeke Libby, Editor(s)

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