Development of a user interface for an integrated system of video monitoring based on ontologies

Loktev, Daniil; Loktev, Alexey

doi:10.12988/ces.2015.57196

Cited by 8 publications

(2 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Each of these methods could be used in practice depending on the task [11,12]. Among the many methods for determining the parameters of behavior and state of a tracked object, the most popular are techniques of stereo vision; determination of blur for a given motion of the imaging detector; definition of blurring for different colors included in the Full HD image of the object.…”

Section: Existing Approachesmentioning

confidence: 99%

An Aggregated Method for Determining Railway Defects and Obstacle Parameters

Loktev

Stepanov

et al. 2018

IOP Conf. Ser.: Mater. Sci. Eng.

View full text Add to dashboard Cite

Abstract. The method of combining algorithms of image blur analysis and stereo vision to determine the distance to objects (including external defects of railway tracks) and the speed of moving objects-obstacles is proposed. To estimate the deviation of the distance depending on the blur a statistical approach, logarithmic, exponential and linear standard functions are used. The statistical approach includes a method of estimating least squares and the method of least modules. The accuracy of determining the distance to the object, its speed and direction of movement is obtained. The paper develops a method of determining distances to objects by analyzing a series of images and assessment of depth using defocusing using its aggregation with stereoscopic vision. This method is based on a physical effect of dependence on the determined distance to the object on the obtained image from the focal length or aperture of the lens. In the calculation of the blur spot diameter it is assumed that blur occurs at the point equally in all directions. According to the proposed approach, it is possible to determine the distance to the studied object and its blur by analyzing a series of images obtained using the video detector with different settings. The article proposes and scientifically substantiates new and improved existing methods for detecting the parameters of static and moving objects of control, and also compares the results of the use of various methods and the results of experiments. It is shown that the aggregate method gives the best approximation to the real distances.

show abstract

Section: Existing Approachesmentioning

confidence: 99%

An Aggregated Method for Determining Railway Defects and Obstacle Parameters

Loktev

Stepanov

et al. 2018

IOP Conf. Ser.: Mater. Sci. Eng.

View full text Add to dashboard Cite

show abstract

“…Важную роль играет частота кадров камеры, поскольку камера с низкой частотой кадров не успеет отследить объект, движущийся с высокой скоростью, либо изображение будет искажено, что не позволит идентифицировать объект 1 . Одним из главных преимуществ интеллектуальной системы видеонаблюдения является её многофункциональность [3,4], что позволяет осуществлять обнаружение объекта и его локализацию в кадре [5,6], идентификацию или клас- 1 Ганин А.Н. Сопровождение и распознавание объектов на телевизионных изображениях: дис.…”

Section: Introductionunclassified

Information Processing Algorithms in the Steel-Teeming Ladles Tracking System in Steelmaking

Trofimenko

Ершов

Varfolomeev

2023

Proceedings of the SWSU

View full text Add to dashboard Cite

Purpose of research. The purpose of research is to increase the efficiency of control over the movement of steel ladles in steelmaking, through the development of mathematical and software.Methods. The control of the movement of steel-pouring ladles can be divided into 2 parts: the first is the object detection in the image from a camera located on a certain section of the route, followed by determining the position of the object in the frame, and the second part is identification based on an array of data from different systems. Methods used in research are: mathematical modeling, neural networks, the basics of the theory of algorithms construction, as well as software and hardware of modern computer technologies. The article describes a model for the routes generation for the movement of steel ladles, on the basis of which the control of the movement of steel ladles is carried out. Algorithmic support is a combination of such algorithms as: an algorithm for generating possible routes for moving steel ladles, an algorithm for determining the position of a steel ladle on a route for moving steel ladles, an algorithm for identifying a steel ladle and a generalized algorithm for processing information. The structuralfunctional organization of the tracking system for steel-pouring ladles in steel-smelting production is given.Results. Experimental verification of algorithmic support was carried out on a test data set, which was formed from real technological data. Adaptation and tuning of the algorithms and software will make it possible to apply this software system in steelmaking plants with a different composition of plant units.Conclusion. Control over the movement of steel ladles allows build the process so that the movement of liquid steel will cause minimal heat loss. The need to heat steel in secondary processing units is correlates with energy costs. Thus, reducing heat loss and downtime of steel ladles will reduce energy costs for the entire process.

show abstract

Mathematical Modeling of Blur of Object in Image for Using It as Information Criterion

Loktev

Korolev

et al. 2021

XIV International Scientific Conference “INTERAGROMASH 2021"

View full text Add to dashboard Cite

Development of a user interface for an integrated system of video monitoring based on ontologies

Cited by 8 publications

References 5 publications

An Aggregated Method for Determining Railway Defects and Obstacle Parameters

An Aggregated Method for Determining Railway Defects and Obstacle Parameters

Information Processing Algorithms in the Steel-Teeming Ladles Tracking System in Steelmaking

Mathematical Modeling of Blur of Object in Image for Using It as Information Criterion

Contact Info

Product

Resources

About