Estimating 3D positions and velocities of projectiles from monocular views.

Full 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.

Author information

Author/s: Ribnick, Evan (E); Atev, Stefan (S); Papanikolopoulos, Nikolaos P (NP);

Affiliation: Department of Computer Science and Engineering, University of Minnesota, EE/CSci 4-192, 200 Union St. SE, Minneapolis, MN 55455, USA. {ribnick, atev, npapas}(-atsign-)cs.umn.edu.

Journal and publication information

Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.

Journal: IEEE transactions on pattern analysis and machine intelligence (IEEE Trans Pattern Anal Mach Intell), published in United States. (Language: eng)

Reference: 2009-May; vol 31 (issue 5) : pp 938-44

Dates: Created 2009/03/20; Completed 2009/06/10;

PMID: 19299865, status: MEDLINE (last retrieval date: 6/10/2009, IMS Date: 10 Jun 2009 00:00:00)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Algorithms
Artificial Intelligence
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Imaging, Three-Dimensional - methods

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