TrackEye tracking algorithm characterization

Michael T. Valley; Robert W. Shields; Jack M. Reed

doi:10.1117/12.561616

18 October 2004 TrackEye tracking algorithm characterization

Michael T. Valley, Robert W. Shields, Jack M. Reed

Proceedings Volume 5552, Target-in-the-Loop: Atmospheric Tracking, Imaging, and Compensation; (2004) https://doi.org/10.1117/12.561616
Event: Optical Science and Technology, the SPIE 49th Annual Meeting, 2004, Denver, Colorado, United States

Abstract

TrackEye is a film digitization and target tracking system that offers the potential for quantitatively measuring the dynamic state variables (e.g., absolute and relative position, orientation, linear and angular velocity/acceleration, spin rate, trajectory, angle of attack, etc.) for moving objects using captured single or dual view image sequences. At the heart of the system is a set of tracking algorithms that automatically find and quantify the location of user selected image details such as natural test article features or passive fiducials that have been applied to cooperative test articles. This image position data is converted into real world coordinates and rates with user specified information such as the image scale and frame rate. Though tracking methods such as correlation algorithms are typically robust by nature, the accuracy and suitability of each TrackEye tracking algorithm is in general unknown even under good imaging conditions. The challenges of optimal algorithm selection and algorithm performance/measurement uncertainty are even more significant for long range tracking of high-speed targets where temporally varying atmospheric effects degrade the imagery. This paper will present the preliminary results from a controlled test sequence used to characterize the performance of the TrackEye tracking algorithm suite.

Citation Download Citation

Michael T. Valley, Robert W. Shields, and Jack M. Reed "TrackEye tracking algorithm characterization", Proc. SPIE 5552, Target-in-the-Loop: Atmospheric Tracking, Imaging, and Compensation, (18 October 2004); https://doi.org/10.1117/12.561616

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KEYWORDS

Detection and tracking algorithms

Cameras

Atmospheric turbulence

Data analysis

Image processing

Automatic tracking

Digital imaging

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