Object movement estimator using one-dimensional optical flow

Image analysis – Image transformation or preprocessing – Correlation

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382279, 382107, G06K 964, G06F 1715

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active

057177929

ABSTRACT:
An object movement estimator (400) predicts optical flow by estimating changes in sensed images using one-dimensional correlations. Sensed image portions are stored at a first instant of time and compared with sensed image portions at a second instant of time. An optimal flow is estimated by performing a one-dimensional correlation of the sensed image portions at the first and second instants of time, and a time-to-contact is estimated based on the predicted optical flow thus obtained.

REFERENCES:
patent: 4905151 (1990-02-01), Weiman et al.
patent: 5030984 (1991-07-01), Buckler et al.
patent: 5142361 (1992-08-01), Tayama et al.
patent: 5212547 (1993-05-01), Otsuki
Subbarao, M., "Bounds on Time-to-Collision and Potational Component from First-Order Derivatives of Image Flow", Computer Vision, Graphics, and Image Processing 50, Jun. 1990, Duluth, Minn., Academic Press, pp. 329-341.
Ancona and Poggio, "Optical Flow from ID Correlation: Application to a simple Time-to-Crash Detector", Fourth Int. Con. on Computer Vision, IEEE, May 11-14, 1993, Berlin, Germany, pp. 209-214.
Ancoma, N., "A First Step Toward a Temporal Integration of Motion Parameters", IEEE, 1991, pp. 681-686.

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