Traffic Calculations using Stereo Video Cameras

2009 ◽  
Author(s):  
H. Yoshida ◽  
H. Muraki ◽  
S. Tanaka ◽  
H. Furuta ◽  
Y. Nishita ◽  
...  
Keyword(s):  
Video Cameras ◽  
Stereo Video

scholarly journals Validating the use of stereo‐video cameras to conduct remote measurements of sea turtles

2021 ◽  
Author(s):  
Tabitha R. Siegfried ◽  
Mariana M. P. B. Fuentes ◽  
Matthew Ware ◽  
Nathan J. Robinson ◽  
Emma Roberto ◽  
...  
Keyword(s):  
Sea Turtles ◽  
Video Cameras ◽  
Stereo Video ◽  
Remote Measurements

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

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.

2D Color-Intensity Representation of Ultrasonic Thickness Gauge Measurements

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.

Can Video Cameras Decrease Human Intrusion into a Closed Natural Area?

2020 ◽  
Vol 40 (3) ◽  
Author(s):  
Elizabeth A. Forys ◽  
Paul Hindsley ◽  
Maggie P. Miller ◽  
James B. Wilson ◽  
Lorraine N. Margeson ◽  
...  
Keyword(s):  
Natural Area ◽  
Video Cameras

3D Scene Reconstruction Method in Relative Coordinates with Two Images from Non-Calibrated Video Cameras

2020 ◽  
Vol 25 (3) ◽  
pp. 265-276
Author(s):  
K.M. Shepilova ◽  
◽  
A.V. Sotnikov ◽  
A.V. Shipatov ◽  
Yu.V. Savchenko ◽  
...  
Keyword(s):  
Scene Reconstruction ◽  
Reconstruction Method ◽  
Video Cameras ◽  
Relative Coordinates ◽  
3D Scene ◽  
3D Scene Reconstruction
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