Dynamic target acquisition with simulated FLIR and TV imagery
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Dynamic target acquisition with simulated FLIR and TV imagery phase II, final report by Sheldon H. Levine

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Published by McDonnell Douglas Astronautics Company, St. Louis Division in Saint Louis, Mo .
Written in English


  • Target acquisition.,
  • Infrared detectors.,
  • Imaging systems.,
  • Infrared imaging.,
  • Electronics in military engineering.

Book details:

Edition Notes

StatementSheldon H. Levine, Larry R. Beideman, Frank E. Gomer.
ContributionsBeideman, Larry R., Gomer, Frank E., McDonnell Douglas Astronautics Company-St. Louis.
The Physical Object
Paginationx, 115 p. :
Number of Pages115
ID Numbers
Open LibraryOL20670065M

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Thermal image target acquisition probabilities in the presence of vibrations The conclusions of that analysis were that the probability function is reciprocal to the threshold contrast and to the parameter t,/T This statistical result can be used for defining the probability of detecting a target in an image that was taken during a Cited by: 5. The present study was designed to perform a survey of sensor imagery simulation capabilities and requirements, with emphasis on SAR (Synthetic Aperture Radar). based target model and without online feature selection. 1. Introduction Target tracking in the forward looking infrared (FLIR) imagery has remained a challenging problem. Usually, FLIR images are characterized by low signal-to-noise (SNR) ratios, poor target visibility, and time varying tar-get appearances. These factors call for special treatments. The TOD model [4,6, 7, 8,9,13] is an image-based Target Acquisition (TA) model for advanced systems based on i) the ability to discriminate between triangle test patterns of different orientation.

Recent development of active imaging system technology in the defense and security community have driven the need for a theoretical understanding of its operation and performance in military applications such as target acquisition. In this paper, the modeling of active imaging systems, developed at the U.S. Army RDECOM CERDEC Night Vision &; Electronic Sensors . INFRARED PHYSICS &TECHNOLOGY ELSEVIER Infrared Physics & Technology 36 () ,, Search strategy for optimal infrared target acquisition performance S.R. Rotman a E.S. Gordon '~, O. Hadar a, N.S. Kopeika ~, V. George b, M.L. Kowalczyk b Ben-Gurion Uni~'ersity of the Negev, Department of Electrical and Computer Engineering, Beer Cited by: 2. A method and apparatus for interactive TV camera based games in which position or orientation of points on a player or of an object held by a player are determined and used to control a video display. Both single camera and stereo camera pair based embodiments are disclosed, preferably using stereo photogrammetry where multi-degree of freedom information is by: High dynamic range imaging produces images with a much greater range of light and color than conventional imaging. The effect is stunning, as great as the difference between black-and-white and color television. High Dynamic Range Imaging is the first book to describe this exciting new field that is transforming the media and entertainment.

Target acquisition is a core part of modern computer use. Fitts’ law has frequently been proven to predict performance of target acquisition tasks; even with targets that change size as the cursor approaches. Research into expanding targets has focussed on targets that expand in both visual- and motor-space. We investigate. Imaging infrared seeker target acquisition experiments [Wagner, Dan W] on *FREE* shipping on qualifying offers. Imaging infrared seeker target acquisition experimentsAuthor: Dan W Wagner.   Subjects were required to detect and recognize vehicle targets situated in backgrounds that varied in complexity. Displayed target signatures were representative of those associated with FLIR or TV imagery. Several performance and stimulus imagery measurements were recorded and preliminary regression analyses were performed on the Author: Larry R. Beideman, Frank E. Gomer. Another interesting point of view that could be adopted relates to the specific issues of detection and tracking in FLIR imagery that are actually addressed by the reported techniques: image registration, target representation and recognition [3,7–9], occlusion handling [4,6], multi-target association, clutter removal [1,2] and latency by: