Target Tracking and Positioning on Video Sequence from a Moving Video Camera

2006 ◽  
pp. 523-533
Author(s):  
Chi-Farn Chen ◽  
Min-Hsin Chen
Keyword(s):  
Target Tracking ◽  
Video Sequence ◽  
Video Camera

scholarly journals [Paper] Reliving Past Scene Experience System by Inducing a Video-camera Operator's Motion with Overlaying a Video-sequence onto Real Environment

2014 ◽  
Vol 2 (3) ◽  
pp. 225-235 ◽  
Author(s):  
Jun Imura ◽  
Kazuhiro Kasada ◽  
Takuji Narumi ◽  
Tomohiro Tanikawa ◽  
Michitaka Hirose
Keyword(s):  
Video Sequence ◽  
Video Camera ◽  
Real Environment

Research on the Mean Shift Target Tracking and Recognition Technology Based on Multi-Feature Fusion

2013 ◽  
Vol 705 ◽  
pp. 561-564 ◽  
Author(s):  
Yong Jun Peng ◽  
Fen Tan ◽  
Jun Sun
Keyword(s):  
Target Tracking ◽  
Video Sequence ◽  
Feature Fusion ◽  
Mean Shift ◽  
Moving Target ◽  
Compressed Domain ◽  
Target Movement ◽  
Moving Target Tracking ◽  
Template Update ◽  
The Mean

This article topics based on multi-feature fusion the Mean shift target tracking technology belongs to the field of intelligent video analysis, moving target tracking is interested in moving target location each image in a video sequence to find and acquire the target movement. Moving target tracking problem can be stated as interested in moving target movement prediction in the video sequence, feature extraction, feature matching and template update problem. In this paper, we consider using compressed domain features as a complement of the color features to extract the compressed domain features first need to understand the compressed domain detection technology. Detection based on the compressed domain, that is, in the case of not decoding or a small amount of decoding, directly on the compression characteristics of the image analysis, in order to achieve the detection of the image moving object.

Simultaneous deblur and super-resolution technique for video sequence captured by hand-held video camera

2014 ◽  
Author(s):  
Yuki Matsushita ◽  
Hiroshi Kawasaki ◽  
Shintaro Ono ◽  
Katsushi Ikeuchi
Keyword(s):  
Video Sequence ◽  
Super Resolution ◽  
Video Camera

Niche PSO Particle Filter with Particles Fusion for Target Tracking

2012 ◽  
Vol 239-240 ◽  
pp. 1368-1372
Author(s):  
Hai Tao Yao ◽  
Hai Qiang Chen ◽  
Tuan Fa Qin
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Filter ◽  
Target Tracking ◽  
Video Sequence ◽  
Population Distribution ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Weight Calculation ◽  
Dynamic Target ◽  
Particle Filter Algorithm

An improved particle filter algorithm is proposed to track a randomly moving target in video. In particle filter framework, a particle swarm optimization improved by niche technique which implemented by restricted competition selection is integrated. It can move particles into high likelihood area of target and form multi-population distribution, so that the searching capability of particles is enhanced and then the adaptation to the change of dynamic target state is improved. The particles of niching particle swarm optimization and the particles of particle filter are integrated for new particle weight calculation and finally realize a new particle filter for target tracking in video sequence.

scholarly journals Devising a method for measuring the motion parameters of industrial equipment in the quarry using adaptive parameters of a video sequence

2021 ◽  
Vol 6 (9 (114)) ◽  
pp. 32-46
Author(s):  
Yurii Podchashynskyi ◽  
Oksana Luhovykh ◽  
Vitaliy Tsyporenko ◽  
Valentyn Tsyporenko
Keyword(s):  
Measurement Errors ◽  
Video Sequence ◽  
Video Camera ◽  
Exponential Smoothing ◽  
Natural Stone ◽  
Measuring System ◽  
Contactless Measurement ◽  
Adaptive Parameters ◽  
Accuracy Of Measurements ◽  
Motion Parameters

The method and structural scheme of an information-measuring system for determining the parameters of objects' movements (technological equipment in the quarry for extracting block natural stone) have been proposed. A distinctive feature of time video sequences containing images of measured objects is their adaptation and adjustment in accordance with the intensity of movement and accuracy requirements for measurement results. Structural and software-algorithmic methods were also applied for improving the accuracy of measurements of motion parameters, namely: complexation of two measuring channels and exponential smoothing of digital references. One of the measuring channels is based on a digital video camera, the second is based on an accelerometer mounted on an object and two integrators. Exponential smoothing makes it possible to take into consideration the previous countdowns of movement parameters with weight coefficients. That ensures accounting for the existing patterns of movement of the object and reducing the errors when measuring the parameters of movement by (1.4...1.6) times. The resulting solutions have been implemented in the form of an information and measurement system. The technological process of extracting blocks of natural stone in the quarry was experimentally investigated using a diamond-rope installation. Based on the contactless measurement of motion parameters, it is possible to ensure control over this process and improve the quality of blocks made of natural stone. Based on the experimental study of measurement errors, recommendations were given for the selection of adaptive parameters of a video sequence, namely the size of images and the value of the inter-frame interval. In addition, methods for the software-algorithmic processing of measuring information were selected, specifically exponential smoothing and averaging the coordinates of the contour of an object, measured in 30 adjacent lines of the image

Determining the shift of a bronchoscope catheter from the analysis of a video sequence of a bronchoscope video camera

2017 ◽  
Vol 37 (4) ◽  
pp. 630-636 ◽  
Author(s):  
Dariusz Michalski ◽  
Zbisław Tabor ◽  
Bartosz Zieliński
Keyword(s):  
Video Sequence ◽  
Video Camera

High-Resolution Image Synthesis from Video Sequence by Light Field

2003 ◽  
Vol 15 (3) ◽  
pp. 254-262
Author(s):  
Kenkichi Kobayashi ◽  
◽  
Hideo Saito
Keyword(s):  
High Resolution ◽  
Light Field ◽  
Video Sequence ◽  
Image Synthesis ◽  
Video Camera ◽  
Image Sequences ◽  
Depth Variation ◽  
High Resolution Images ◽  
Exact Shape ◽  
Novel Method

We propose a novel method to synthesize high-resolution images from image sequences taken with a moving video camera. Each frame in the image sequence is a part of the photographed object. Our method integrates these frames to generate high-resolution images of object by constructing a light field, which is quite different from general mosaic methods. In light fields constructed straightforwardly, blur and discontinuity are introduced into synthesized images by depth variation of the object. In our method, the light field is optimized to remove blur and discontinuity so clear images can be synthesized. We find the optimum light field for generating sharp unblurred images by reparameterizing light field and evaluating sharpness of synthesized images from each light field. The optimized light field is adapted to the depth variation of the object surface, but the exact shape of the object is not necessary. High resolution images that are impractical in the real system can be virtually synthesized from the light field. Results of the experiment applied to a book surface demonstrate the effectiveness of the proposed method.

Ratio imaging of intracellular ion concentration

1992 ◽  
Vol 50 (2) ◽  
pp. 1160-1161
Author(s):  
Stephen R. Bolsover
Keyword(s):  
Individual Cell ◽  
Video Camera ◽  
Field Of View ◽  
Ion Concentration ◽  
Fluorescence Signal ◽  
Ion Imaging ◽  
Ratiometric Fluorescence ◽  
Ratio Imaging ◽  
The Mean ◽  
The Many

The field of intracellular ion concentration measurement expanded greatly in the 1980's due primarily to the development by Roger Tsien of ratiometric fluorescence dyes. These dyes have many applications, and in particular they make possible to image ion concentrations: to produce maps of the ion concentration within living cells. Ion imagers comprise a fluorescence microscope, an imaging light detector such as a video camera, and a computer system to process the fluorescence signal and display the map of ion concentration.Ion imaging can be used for two distinct purposes. In the first, the imager looks at a field of cells, measuring the mean ion concentration in each cell of the many in the field of view. One can then, for instance, challenge the cells with an agonist and examine the response of each individual cell. Ion imagers are not necessary for this sort of experiment: one can instead use a system that measures the mean ion concentration in a just one cell at any one time. However, they are very much more convenient.

High-resolution measurement of birefringent fine structure in living cells using a new polarized light microscope

1995 ◽  
Vol 53 ◽  
pp. 54-55
Author(s):  
Rudolf Oldenbourg
Keyword(s):  
Light Microscope ◽  
Fluorescent Dyes ◽  
Polarized Light ◽  
Processing System ◽  
Video Camera ◽  
Molecular Organization ◽  
Computer Assisted ◽  
Image Recording ◽  
Birefringent Crystal ◽  
Technological Advances

The recent renaissance of the light microsope is fueled in part by technological advances in components on the periphery of the microscope, such as the laser as illumination source, electronic image recording (video), computer assisted image analysis and the biochemistry of fluorescent dyes for labeling specimens. After great progress in these peripheral parts, it seems timely to examine the optics itself and ask how progress in the periphery facilitates the use of new optical components and of new optical designs inside the microscope. Some results of this fruitful reflection are presented in this symposium.We have considered the polarized light microscope, and developed a design that replaces the traditional compensator, typically a birefringent crystal plate, with a precision universal compensator made of two liquid crystal variable retarders. A video camera and digital image processing system provide fast measurements of specimen anisotropy (retardance magnitude and azimuth) at ALL POINTS of the image forming the field of view. The images document fine structural and molecular organization within a thin optical section of the specimen.

Thickness Measurement in the AEM by Macintosh-Based Analysis of Two-Beam Convergent Beam Patterns

1990 ◽  
Vol 48 (2) ◽  
pp. 504-505
Author(s):  
John F. Mansfield ◽  
Douglas C. Crawford
Keyword(s):  
Electron Microscope ◽  
Video Camera ◽  
Thickness Measurement ◽  
Specimen Thickness ◽  
Crystalline Materials ◽  
Beam Dynamic ◽  
Line Measurement ◽  
On Line ◽  
Image Position ◽  
Convergent Beam

A method has been developed that allows on-line measurement of the thickness of crystalline materials in the analytical electron microscope. Two-beam convergent beam electron diffraction (CBED) patterns are digitized from a JEOL 2000FX electron microscope into an Apple Macintosh II microcomputer via a Gatan #673 CCD Video Camera and an Imaging Systems Technology Video 1000 frame-capture board. It is necessary to know the lattice parameters of the sample since measurements are made of the spacing of the diffraction discs in order to calibrate the pattern. The sample thickness is calculated from measurements of the spacings of the fringes that are seen in the diffraction discs. This technique was pioneered by Kelly et al, who used the two-beam dynamic theory of MacGillavry relate the deviation parameter (Si) of the ith fringe from the exact Bragg condition to the specimen thickness (t) with the equation:Where ξg, is the extinction distance for that reflection and ni is an integer.

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