Conventional tracking systems measure time-space-position data and collect imagery to quantify the flight dynamics of
tracked targets. A major obstacle that severely impacts the accuracy of the target characterization is atmospheric
turbulence induced distortion of the tracking laser beam and imagery degradations. Tracking occurs in a continuously
changing atmosphere resulting in rapid variations in the tracking laser beam and distorted imagery. These atmospheric
effects, combined with other degradation effects such as measurement system motion, defocus blur, and spatially varying
noise, severely limit the viability and accuracy of many tracking and imagery-based analysis methods. In 2007, using a
high speed sled test, the feasibility of quantifying flight dynamics with stereo laser tracking and multi-video imagery was
demonstrated. The technique acquires stereo views (two or more) of a moving test article that has an applied random
speckle (dot) pattern painted on the surface to provide unique tracking points. The stereo views are reconciled via
coordinate transformations and correlation of the transformed images. The 2007 results demonstrated that dual laser
tracker data can be used to update camera calibration data for stereo imaging to extend the image correlation approach to
moving field of view applications such as missile tracking and missile performance characterization, e.g., attitude
measurements. However, these results were predominantly qualitative in nature, focusing on the degree of correlation.
This paper will present quantitative results from 2008 outdoor centrifuge tests and assess the digital image correlation
accuracy for time varying attitude and position measurements.