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
Link To Document :
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