Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Eui Jung Sohn"'
Autor:
Harpreet Singh, Eui Jung Sohn, Gulsheen Kaur, Gregory Hugh Smith, Yelena Rodin, Kimberly Lane, Samuel Ebenstein, Thomas J. Meitzler, Elena Bankowski, James Stewart Rankin, David Bednarz, Darryl Bryk
Publikováno v:
SPIE Proceedings.
The fusion of visual and infrared sensor images of potential driving hazards in static infrared and visual scenes is computed using the Fuzzy Logic Approach (FLA). The FLA is presented as a new method for combining images from different sensors for a
Autor:
Kimberly Lane, Darryl Bryk, Samuel Ebenstein, David Bednarz, Eui Jung Sohn, Amer Mohammad Khaled Samman, Thomas J. Meitzler, Yelena Rodin, Daniel Jusela, James Stewart Rankin, Gregory Hugh Smith
Publikováno v:
SPIE Proceedings.
The purpose of this experiment was to quantitatively measure driver performance for detecting potential road hazards in visual and infrared (IR) imagery of road scenes containing varying combinations of contrast and noise. This pilot test is a first
Publikováno v:
SPIE Proceedings.
The mean search time of observers looking for targets in visual scenes with clutter is computed using the Fuzzy Logic Approach (FLA). The FLA is presented by the authors as a robust method for the computation of search times and or probabilities of d
Autor:
Eui Jung Sohn, Thomas J. Meitzler, Mitchell A. Cohen, Paul G. Gottschalk, Grant R. Gerhart, Darryl Bryk, Robert E. Karlsen, Richard C. Goetz, Gary Witus
Publikováno v:
SPIE Proceedings.
We present and demonstrate a method to characterize a background scene, to extrapolate the background characteristics into a specified target region, and to generate a synthetic target image with the visual characteristics of the surrounding backgrou
Publikováno v:
SPIE Proceedings.
Wavelet transforms are currently being used for a number of applications such as cue feature and noise extraction from images and acoustic signals. This work describes and applies an algorithm that uses wavelets for finding the clutter in infrared (I
Publikováno v:
SPIE Proceedings.
Target acquisition methodology for infrared (IR) and visual man-in-the-loop imaging sensors has several limitations for many sensor performance assessment applications. Recent advances in computational vision modeling (CVM) have made dramatic improve
Autor:
Grant R. Gerhart, Gary Witus, Eui Jung Sohn, Thomas J. Meitzler, J. Richard Freeling, George H. Lindquist
Publikováno v:
SPIE Proceedings.
This paper examines the applicability of computational vision models (CVM) to characterize thermal and visual imagery. A specific CVM model is described for the analysis of individual target characteristics and background clutter. A unique feature of
Publikováno v:
SPIE Proceedings.
This paper presents a simulation and comparison of two different infrared (IR) imaging systems in terms of their use in automotive collision avoidance and vision enhancement applications. The first half of this study concerns the simulations of a `co
Publikováno v:
SPIE Proceedings.
An image based comparison of modeled IR cameras in the medium- wave (MW) and longwave (LW) bands is done using the TARDEC thermal image model (TTIM) and LOWTRAN7. A state-of-the-art staring focal plane array (FPA), a common module scanning FLIR, and
Publikováno v:
Characterization and Propagation of Sources and Backgrounds.
EO/IR/FLIR sensor performance models currently employ a thermal difference metric(s) to predict target detection, recognition, and identification ranges in conjunction with minimum resolvable temperature difference (MRT) curves. In this paper, we pre