scholarly journals Directions of Development of Intelligent Real Time Video Systems

2017 ◽  
Vol 2 (3) ◽  
pp. 48 ◽  
Author(s):  
Vitaliy Boyun
Keyword(s):  
Information Processing ◽  
Real Time ◽  
High Speed ◽  
Dynamic Models ◽  
Visual Analyzer ◽  
Retinal Neuron ◽  
Neuron Network ◽  
Range Interaction ◽  
Video Information ◽  
Video Systems

Real time video systems play a significant role in many fields of science and technology.  The range of their applications is constantly increasing together with requirements to them, especially it concerns to real time video systems with the feedbacks. Conventional fundamentals and principles of real-time video systems construction are extremely redundant and do not take into consideration the peculiarities of real time processing and tasks, therefore they do not meet the system requirements neither in technical plan nor in informational and methodical one. Therefore, the purpose of this research is to increase responsiveness, productivity and effectiveness of real time video systems with a feedback during the operation with the high-speed objects and dynamic processes. The human visual analyzer is considered as a prototype for the construction of intelligent real time video systems. Fundamental functions, structural and physical peculiarities of adaptation and processes taking place in a visual analyzer relating to the information processing, are considered. High selectivity of information perception and wide parallelism of information processing on the retinal neuron layers and on the higher brain levels are most important peculiarities of a visual analyzer for systems with the feedback. The paper considers two directions of development of intelligent real time video systems. First direction based on increasing intellectuality of video systems at the cost of development of new information and dynamic models for video information perception processes, principles of control and reading parameters of video information from the sensor, adapting them to the requirements of concrete task, and combining of input processes with data processing. Second direction is associated with the development of new architectures for parallel perception and level-based processing of information directly on a video sensor matrix. The principles of annular and linear structures on the neurons layers, of close-range interaction and specialization of layers, are used to simplify the neuron network.

scholarly journals High-speed algorithm for transmitting video information about emergency situations on transport objects

2021 ◽  
pp. 64-70
Author(s):  
И.Г. Малыгин ◽  
О.А. Королев
Keyword(s):  
Real Time ◽  
High Speed ◽  
High Performance ◽  
Low Complexity ◽  
Transformation Method ◽  
Video Stream ◽  
Surveillance Systems ◽  
Video Information ◽  
Emergency Situations ◽  
Multiplication Operation

Современные интеллектуальные видеосистемы наблюдения стали все больше акцентироваться на передачу в реальном времени высококачественного видео различных важных событий, в том числе чрезвычайных ситуаций. Для высокопроизводительных систем передачи видеоинформации нового поколения необходимы эффективные структурные решения, способные как к высокой скорости передачи, так и к высокой точности вычисления. Такие структуры должны обрабатывать огромные последовательности изображений, при этом каждый видеопоток должен характеризоваться высоким разрешением с минимальным шумом и искажениями, потребляя при этом как можно меньше мощности. Спектральные алгоритмы обработки видеоинформации являются наиболее распространенным способом передачи в реальном времени, в частности дискретное косинусное преобразование. При этом исходное изображение подвергается преобразованию из пространственной в частотную область с целью сжатия путём уменьшения или устранения избыточности визуальных данных. Неявное вычисление преобразования последовательности 8-точечного массива приводит к эффективному сжатию, требующему не более пятикратного выполнения операции умножения. В статье предложены архитектура с низкой структурой сложности и метод преобразования изображений на основе алгебры целых чисел. Modern intelligent video surveillance systems have become increasingly focused on real-time transmission of high-quality video of various important events, including emergencies. For high-performance video information transmission systems of the new generation, efficient structural solutions are needed that are capable of both high transmission speed and high calculation accuracy. Such structures must process huge sequences of images, and each video stream must be characterized by high resolution and with minimal noise and distortion, while consuming as little power as possible. Spectral algorithms for processing video information are the most common method of transmission in real time, in particular the discrete cosine transform. In this case, the original image is transformed from the spatial to the frequency domain in order to compress by reducing or eliminating the redundancy of visual data. Implicitly calculating the sequence transformation of an 8-point array results in efficient compression, requiring no more than five times the multiplication operation. In this paper, we propose an architecture with a low complexity structure and image transformation method based on the algebra of integers

scholarly journals Real-time dynamics of soft and continuum robots based on Cosserat rod models

2019 ◽  
Vol 38 (6) ◽  
pp. 723-746 ◽  
Author(s):  
John Till ◽  
Vincent Aloi ◽  
Caleb Rucker
Keyword(s):  
Real Time ◽  
High Speed ◽  
Dynamic Models ◽  
Numerical Approach ◽  
Dynamics Simulation ◽  
Working Fluid ◽  
Implicit Methods ◽  
Camera System ◽  
Time Dynamics ◽  
Cosserat Rod

The dynamic equations of many continuum and soft robot designs can be succinctly formulated as a set of partial differential equations (PDEs) based on classical Cosserat rod theory, which includes bending, torsion, shear, and extension. In this work we present a numerical approach for forward dynamics simulation of Cosserat-based robot models in real time. The approach implicitly discretizes the time derivatives in the PDEs and then solves the resulting ordinary differential equation (ODE) boundary value problem (BVP) in arc length at each timestep. We show that this strategy can encompass a wide variety of robot models and numerical schemes in both time and space, with minimal symbolic manipulation required. Computational efficiency is gained owing to the stability of implicit methods at large timesteps, and implementation is relatively simple, which we demonstrate by providing a short MATLAB-coded example. We investigate and quantify the tradeoffs associated with several numerical subroutines, and we validate accuracy compared with dynamic rod data gathered with a high-speed camera system. To demonstrate the method’s application to continuum and soft robots, we derive several Cosserat-based dynamic models for robots using various actuation schemes (extensible rods, tendons, and fluidic chambers) and apply our approach to achieve real-time simulation in each case, with additional experimental validation on a tendon robot. Results show that these models capture several important phenomena, such as stability transitions and the effect of a compressible working fluid.

High speed interferometric device for real-time correction of aero-optic effects

1995 ◽  
Author(s):  
Rod Clark ◽  
John Karpinsky ◽  
Gregg Borek ◽  
Eric Johnson
Keyword(s):  
Real Time ◽  
High Speed ◽  
Time Correction

Electrical Probing and Surface Imaging of Deep Sub-Micron Integrated Circuits

1999 ◽  
Author(s):  
Kenneth Krieg ◽  
Richard Qi ◽  
Douglas Thomson ◽  
Greg Bridges
Keyword(s):  
High Resolution ◽  
Integrated Circuits ◽  
Real Time ◽  
High Speed ◽  
Time Signal ◽  
Surface Imaging ◽  
Atomic Force ◽  
Submicron Structures ◽  
High Resolution Images ◽  
Capacitive Loading

Abstract A contact probing system for surface imaging and real-time signal measurement of deep sub-micron integrated circuits is discussed. The probe fits on a standard probe-station and utilizes a conductive atomic force microscope tip to rapidly measure the surface topography and acquire real-time highfrequency signals from features as small as 0.18 micron. The micromachined probe structure minimizes parasitic coupling and the probe achieves a bandwidth greater than 3 GHz, with a capacitive loading of less than 120 fF. High-resolution images of submicron structures and waveforms acquired from high-speed devices are presented.

Low-Cost High-Speed Techniques for Real-Time Simulation of Power Electronic Systems

2007 ◽  
Author(s):  
R. E. Crosbie ◽  
J. J. Zenor ◽  
R. Bednar ◽  
D. Word ◽  
N. G. Hingorani
Keyword(s):  
Real Time ◽  
High Speed ◽  
Low Cost ◽  
Electronic Systems ◽  
Power Electronic ◽  
Real Time Simulation ◽  
Time Simulation

A novel approach to the real-time modelling of large urban drainage systems

1997 ◽  
Vol 36 (8-9) ◽  
pp. 19-24 ◽  
Author(s):  
Richard Norreys ◽  
Ian Cluckie
Keyword(s):  
Real Time ◽  
Dynamic Models ◽  
Drainage System ◽  
Radar Data ◽  
Urban Drainage ◽  
Real Time Control ◽  
Empirical Modelling ◽  
Time Control ◽  
Novel Approach ◽  
Non Linear Systems

Conventional UDS models are mechanistic which though appropriate for design purposes are less well suited to real-time control because they are slow running, difficult to calibrate, difficult to re-calibrate in real time and have trouble handling noisy data. At Salford University a novel hybrid of dynamic and empirical modelling has been developed, to combine the speed of the empirical model with the ability to simulate complex and non-linear systems of the mechanistic/dynamic models. This paper details the ‘knowledge acquisition module’ software and how it has been applied to construct a model of a large urban drainage system. The paper goes on to detail how the model has been linked with real-time radar data inputs from the MARS c-band radar.

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