1 March 1995 Three-dimensional location estimation of trajectories of point targets using a projection-based transformation method
Author Affiliations +
Abstract
A new computational approach for determining the parameters that characterize the locations of trajectories of point targets in a 3-D space is described. The targets of concern are dim, unresolved point targets moving along straight paths across the same field of view. Since the target's signal-to-noise ratio is low and the spatial extent of the target is less than a pixel, one must rely on integration over a target track that spans many image frames. The proposed method estimates these parameters by transforming the entire set of time-sequential images of a constant field of view into the projection space by using a modified Radon transform. Since the 3-D (spatiotemporal) data can be decomposed into 2-D multiple-view representations along arbitrary orientations, the Radon transform enables us to analyze the 3-D problem in terms of its 2-D projections. When this generalization of the Hough transform-based algorithm using the Radon transform is applied to a set of real infrared images, it produces promising estimation results even under noisy conditions. The noise in the images is assumed to be additive white Gaussian.
Jae-Ho Choi, Sarah A. Rajala, "Three-dimensional location estimation of trajectories of point targets using a projection-based transformation method," Optical Engineering 34(3), (1 March 1995). https://doi.org/10.1117/12.190417
JOURNAL ARTICLE
7 PAGES


SHARE
Back to Top