Automatic Target Acquisition and Tracking with Cooperative Fixed and PTZ Video Cameras

Improved 3-D reconstruction using stereo computer graphics and multiple tilt EM images

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100139524 ◽

1995 ◽

Vol 53 ◽

pp. 630-631

Author(s):

Lee D. Peachey ◽

Lou Fodor ◽

John C. Haselgrove ◽

Stanley M. Dunn ◽

Junqing Huang

Keyword(s):

Computer Graphics ◽

High Performance ◽

Transverse Section ◽

Three Dimensional ◽

Stereo Pair ◽

3D Reconstructions ◽

Video Cameras ◽

Biological Objects ◽

Microscope Images ◽

High Performance Computer

Stereo pairs of electron microscope images provide valuable visual impressions of the three-dimensional nature of specimens, including biological objects. Beyond this one seeks quantitatively accurate models and measurements of the three dimensional positions and sizes of structures in the specimen. In our laboratory, we have sought to combine high resolution video cameras with high performance computer graphics systems to improve both the ease of building 3D reconstructions and the accuracy of 3D measurements, by using multiple tilt images of the same specimen tilted over a wider range of angles than can be viewed stereoscopically. Ultimately we also wish to automate the reconstruction and measurement process, and have initiated work in that direction.Figure 1 is a stereo pair of 400 kV images from a 1 micrometer thick transverse section of frog skeletal muscle stained with the Golgi stain. This stain selectively increases the density of the transverse tubular network in these muscle cells, and it is this network that we reconstruct in this example.

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Theory of signal detection and its application to visual target acquisition: A review of the literature.

PsycEXTRA Dataset ◽

10.1037/e420072004-001 ◽

1992 ◽

Author(s):

Denise L. Wilson

Keyword(s):

Signal Detection ◽

Visual Target ◽

Target Acquisition ◽

Review Of The Literature

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Prediction of target acquisition performance of aerial observers and photointerpreters with and without stereoscopic aids.

PsycEXTRA Dataset ◽

10.1037/e425412004-001 ◽

1973 ◽

Cited By ~ 2

Author(s):

Conrad L. Kraft ◽

Charles D. Anderson

Keyword(s):

Target Acquisition ◽

Acquisition Performance

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Soldier-in-the-Loop Target Acquisition Performance Prediction Through 2001: Integration of Perceptual and Cognitive Models

PsycEXTRA Dataset ◽

10.1037/e534942006-001 ◽

2006 ◽

Author(s):

Barry D. Vaughan

Keyword(s):

Performance Prediction ◽

Cognitive Models ◽

Target Acquisition ◽

Acquisition Performance

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The effect of scene rotation on target acquisition

PsycEXTRA Dataset ◽

10.1037/e573602012-010 ◽

1974 ◽

Author(s):

Melvin Freitag ◽

Shelton MacLeod

Keyword(s):

Target Acquisition

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Development of video cameras and recorders for lightweight television production

IEE Proceedings A Physical Science Measurement and Instrumentation Management and Education Reviews ◽

10.1049/ip-a-1.1982.0078 ◽

1982 ◽

Vol 129 (7) ◽

pp. 436

Author(s):

K.H. Barratt ◽

T. Morita

Keyword(s):

Video Cameras ◽

Television Production

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2D Color-Intensity Representation of Ultrasonic Thickness Gauge Measurements

Materials Evaluation ◽

10.32548/2020.me-04177 ◽

2020 ◽

pp. 1192-1198

Author(s):

M.S. Mohammad ◽

Tibebe Tesfaye ◽

Kim Ki-Seong

Keyword(s):

Cost Effective ◽

The Other ◽

Thickness Gauge ◽

Color Intensity ◽

Digital Readout ◽

Flat Surfaces ◽

Video Cameras ◽

Wide Range ◽

Cost Effective Alternative ◽

Ultrasonic Thickness

Ultrasonic thickness gauges are easy to operate and reliable, and can be used to measure a wide range of thicknesses and inspect all engineering materials. Supplementing the simple ultrasonic thickness gauges that present results in either a digital readout or as an A-scan with systems that enable correlating the measured values to their positions on the inspected surface to produce a two-dimensional (2D) thickness representation can extend their benefits and provide a cost-effective alternative to expensive advanced C-scan machines. In previous work, the authors introduced a system for the positioning and mapping of the values measured by the ultrasonic thickness gauges and flaw detectors (Tesfaye et al. 2019). The system is an alternative to the systems that use mechanical scanners, encoders, and sophisticated UT machines. It used a camera to record the probe’s movement and a projected laser grid obtained by a laser pattern generator to locate the probe on the inspected surface. In this paper, a novel system is proposed to be applied to flat surfaces, in addition to overcoming the other limitations posed due to the use of the laser projection. The proposed system uses two video cameras, one to monitor the probe’s movement on the inspected surface and the other to capture the corresponding digital readout of the thickness gauge. The acquired images of the probe’s position and thickness gauge readout are processed to plot the measured data in a 2D color-coded map. The system is meant to be simpler and more effective than the previous development.

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