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Method and apparatus for computer vision analysis of cannon-launched artillery video

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Author
Yakimenko, Oleg A.
Kolsch, Mathias N.
Decker, Ryan J.
Date
2017-08-01
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Abstract
Systems and methods are provided to quantify the pitching and yawing motion of a projectile during ballistic flight using two camera/tracker video systems. Image processing tools are used to segment the shape of the projectile in each frame of a launch video, which allows the location and observed pitch angle to be calculated with sub-pixel accuracy. Subsequent automated analysis uses the history of the projectile location and the pitching behavior to calculate estimates for the epicyclic motion, as well as other ballistic parameters such as aeroballistic coefficients. Using two cameras located at different orthographic views of the lineof- fire (LOF) allows the pitching and yawing motion history of the projectile to be calculated in three dimensions (3D). In addition, input of the camera locations, cannon trunnion location, and the cannon pointing direction allows for automatic correction for camera misalignment.
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Patent
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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http://hdl.handle.net/10945/55811
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    Method and apparatus for computer vision analysis of cannon-launched artillery video 

    Yakimenko, Oleg A.; Kolsch, Mathias N.; Decker, Ryan J. (The United States of America as represented by the Secretary of the Navy, Washington, DC (US), 2017-02-07);
    An automated method to quantify the pitching and yawing motion of a projectile during ballistic flight using two camera/tracker video systems. Image processing tools are used to segment the shape of the projectile in each ...
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    An Automated Method for Computer Vision Analysis of Cannon-Launched Projectile Video 

    Decker, Ryan J.; Kölsch, Mathias N.; Yakimenko, Oleg A. (ASTM International, 2014-09);
    This paper describes a cost effective automated methodology to analyze launch video of artillery projectiles. Image processing and computer vision techniques are used to segment and classify the projectile shape in each ...
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    How the degree of accuracy of an inertial measurement unit (IMU) influences the miss distance of a gun-launched precision munition 

    Panhorst, David W. (Monterey, California. Naval Postgraduate School, 2011-09);
    Precision Munition projectiles guide to an area to hit their target. The projectile must read position in-flight and measure deviations from the intended flight path. This allows the projectile to correct and maintain the ...
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