Comparison of sensor noise effects on FITTS and projection based phase only correlation algorithms for high speed video trackers

David C. Dayton; Rudolph Nolasco; Mary Lou Robinson; James B. Lasché

doi:10.1117/12.2062502

18 September 2014 Comparison of sensor noise effects on FITTS and projection based phase only correlation algorithms for high speed video trackers

David C. Dayton, Rudolph Nolasco, Mary Lou Robinson, James B. Lasché

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Proceedings Volume 9227, Unconventional Imaging and Wavefront Sensing 2014; 922705 (2014) https://doi.org/10.1117/12.2062502
Event: SPIE Optical Engineering + Applications, 2014, San Diego, California, United States

Abstract

The FITTS correlation algorithm has been widely used for over forty years in high speed video trackers. It has the advantage that it is very simply implemented in a digital computer with a small number of calculations. At each step the algorithm attempts to estimate the shift between an image of a moving target and a proto-type image. There are several well-known short comings of the FITTS algorithm. First the error in the shift estimate increases if the shift is greater than one pixel of the digital image. Second the FITTS algorithm is susceptible to errors from sensor noise if the video images have low signal to noise ratio. These errors can force a lower tracker closed loop bandwidth to maintain track loop stability. An alternative correlation tracker algorithm is known as Projection Based Phase Only Correlation. In this paper we compare the two algorithms with respect to the effect of sensor noise.

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David C. Dayton, Rudolph Nolasco, Mary Lou Robinson, and James B. Lasché "Comparison of sensor noise effects on FITTS and projection based phase only correlation algorithms for high speed video trackers", Proc. SPIE 9227, Unconventional Imaging and Wavefront Sensing 2014, 922705 (18 September 2014); https://doi.org/10.1117/12.2062502

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KEYWORDS

Detection and tracking algorithms

Fourier transforms

Video

Sensors

Error analysis

Image filtering

Phase only filters

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