Paper
4 May 2009 A comparison of foveated acquisition and tracking performance relative to uniform resolution approaches
Shaun Dubuque, Thayne Coffman, Paul McCarley, A. C. Bovik, C. William Thomas
Author Affiliations +
Abstract
Foveated imaging has been explored for compression and tele-presence, but gaps exist in the study of foveated imaging applied to acquisition and tracking systems. Results are presented from two sets of experiments comparing simple foveated and uniform resolution targeting (acquisition and tracking) algorithms. The first experiments measure acquisition performance when locating Gabor wavelet targets in noise, with fovea placement driven by a mutual information measure. The foveated approach is shown to have lower detection delay than a notional uniform resolution approach when using video that consumes equivalent bandwidth. The second experiments compare the accuracy of target position estimates from foveated and uniform resolution tracking algorithms. A technique is developed to select foveation parameters that minimize error in Kalman filter state estimates. Foveated tracking is shown to consistently outperform uniform resolution tracking on an abstract multiple target task when using video that consumes equivalent bandwidth. Performance is also compared to uniform resolution processing without bandwidth limitations. In both experiments, superior performance is achieved at a given bandwidth by foveated processing because limited resources are allocated intelligently to maximize operational performance. These findings indicate the potential for operational performance improvements over uniform resolution systems in both acquisition and tracking tasks.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shaun Dubuque, Thayne Coffman, Paul McCarley, A. C. Bovik, and C. William Thomas "A comparison of foveated acquisition and tracking performance relative to uniform resolution approaches", Proc. SPIE 7321, Bio-Inspired/Biomimetic Sensor Technologies and Applications, 73210G (4 May 2009); https://doi.org/10.1117/12.818716
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Cited by 7 scholarly publications.
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KEYWORDS
Cameras

Target acquisition

Image resolution

Signal to noise ratio

Imaging systems

Detection and tracking algorithms

Wavelets

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