Target extraction and optical flow determination from fused sensor information

Timothy Myles Payne

doi:10.1117/12.154973

3 September 1993 Target extraction and optical flow determination from fused sensor information

Timothy Myles Payne

Proceedings Volume 1955, Signal Processing, Sensor Fusion, and Target Recognition II; (1993) https://doi.org/10.1117/12.154973
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

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.

Citation Download Citation

Timothy Myles Payne "Target extraction and optical flow determination from fused sensor information", Proc. SPIE 1955, Signal Processing, Sensor Fusion, and Target Recognition II, (3 September 1993); https://doi.org/10.1117/12.154973

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