• DocumentCode
    3558957
  • Title

    Estimating 3D Positions and Velocities of Projectiles from Monocular Views

  • Author

    Ribnick, Evan ; Atev, Stefan ; Papanikolopoulos, Nikolaos P.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Minnesota, Minneapolis, MN
  • Volume
    31
  • Issue
    5
  • fYear
    2009
  • fDate
    5/1/2009 12:00:00 AM
  • Firstpage
    938
  • Lastpage
    944
  • Abstract
    In this paper, we consider the problem of localizing a projectile in 3D based on its apparent motion in a stationary monocular view. A thorough theoretical analysis is developed, from which we establish the minimum conditions for the existence of a unique solution. The theoretical results obtained have important implications for applications involving projectile motion. A robust, nonlinear optimization-based formulation is proposed, and the use of a local optimization method is justified by detailed examination of the local convexity structure of the cost function. The potential of this approach is validated by experimental results.
  • Keywords
    image motion analysis; image reconstruction; least squares approximations; video signal processing; 3D projectile position; 3D projectile velocities; nonlinear optimization-based formulation; projectile motion; stationary monocular view; 3D localization; Motion; Object recognition; Tracking; Video analysis; optimization; projectile motion.; Algorithms; Artificial Intelligence; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Models, Biological; Motion; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • Conference_Location
    10/17/2008 12:00:00 AM
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.2008.247
  • Filename
    4653496