DOI:
Cybernetics and Computer Engineering, 2024,2(216)
Shepetukha Yu.M., PhD (Engineering), Senior Researcher
Leading Researcher of the Intelligent Control Department
https://orcid.org/0000-0002-6256-5248
e-mail: yshep@meta.ua
Bondar S.O., PhD (Engineering),
Head of the Intelligent Control Department,
https://orcid.org/0000-0003-4140-7985
e-mail: seriybrm@gmail.com
Hubsky Ya.M., PhD Student,
https://orcid.org/0009-0009-4484-9544
e-mail: s.gubsky@gmail.com
Popov I.V., PhD Student,
Junior Researcher of the Intelligent Control Department
https://orcid.org/0009-0009-7961-9431
e-mail: popigor7@gmail.com
International Research and Training Center for Information
Technologies and Systems of the National Academy of Science
and Ministry of Education and Science of Ukraine
40, Acad. Glushkov av., 03187, Kyiv, Ukraine
METHODS OF INTELLECTUALISATION OF SPATIAL SCENE MONITORING PROCESSES
Introduction. The development of intelligent technologies requires the active use of advanced technologies and innovative approaches for the intellectualization of spatial scene monitoring processes. The relevance of the topic lies in the great need to improve the quality of video content production. In particular, there is interest in the automation and further intellectualization of shooting processes. The use of new methods of intellectualization leads to a reduction of permissible errors when creating a creative video project. Intellectualization of data processing processes from markers, namely the use of artificial intelligence (AI) methods, allows to obtain a controlled level of quality with minimal human involvement. Intellectualization of stage production contributes to the creation of exciting and innovative performances that captivate the audience. It allows creating new ways of interacting with the audience and providing them with unique impressions from cultural events.
The purpose of the paper is to study the methods of intellectualization of data processing from markers during the use of automatic video cameras in tasks of observing stage action for video-photography.
The results. The issue of the interaction of markers with cameras in three-dimensional space, which is completely identical to the built 3D model, is considered.
Conclusions. The information technology of spatial monitoring of the scene can increase the efficiency and simplify the use of automatic video cameras in the tasks of monitoring the stage action for video-photo shooting. There is no one universal “best” method, as each algorithm has its own advantages and disadvantages. However, the optical flow gradient calculation method may be considered more suitable for use in stage production.
The introduction of information technology for spatial scene monitoring based on the optical flow gradient calculation method will improve efficiency and simplify the use of automatic video cameras. The use of surveillance information technology will reduce the burden on the personnel who maintain and manage the filming and are involved in the work.
Keywords: intellectualization of data processing processes, intelligent monitoring, automatic video camera, animation, optical flow gradient, computer vision.
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Received 06.03.2024