Paper
1 November 1992 Tracking of unresolved targets in infrared imagery using a projection-based method
Jae-Ho Choi, Sarah A. Rajala
Author Affiliations +
Proceedings Volume 1818, Visual Communications and Image Processing '92; (1992) https://doi.org/10.1117/12.131435
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States
Abstract
The conventional two-dimensional Hough transform technique is generalized into a projection- based transform method by using the modified Radon transform for estimating a three- dimensional target tracks embedded in a time-sequential set of image frames. The target of concern are dim, unresolved point targets moving along straight paths across a same field of view. Since the target signal-to-noise is low and the spatial extend of the target is less than a pixel, one must rely on integration over a target track which span over many image frames. Instead of processing the entire 3-D data set, a set of projections are taken using the modified 3-D Radon transform. The projection frames are processed further to extract the track parameters using the Hough transform. This projection-based method not only lowers the data dimensionality but maintains a comparable estimation performance to that of using the entire 3-D data by successfully incorporating all available knowledge obtained from the set of projections. The simulation results are presented for the synthetic and real infrared image sequences containing synthetically generated 3-D target tracks under various signal-to-noise conditions.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jae-Ho Choi and Sarah A. Rajala "Tracking of unresolved targets in infrared imagery using a projection-based method", Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); https://doi.org/10.1117/12.131435
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Cited by 1 scholarly publication.
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KEYWORDS
3D acquisition

3D image processing

Signal to noise ratio

Detection and tracking algorithms

Infrared imaging

Error analysis

Infrared radiation

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