Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: International Conference on Information Technology in Business and Industry, ITBI 2020
Год издания: 2020
Идентификатор DOI: 10.1088/1742-6596/1661/1/012041
Аннотация: The article is devoted to one of the most urgent tasks for today: preprocessing video material in the process of recognizing and identifying people in a video stream. The authors of this article conducted a study, which consists in comparing the results of several algorithms for subtracting the background on various input video matПоказать полностьюerials (from the office and the minimum concentration of people, to the dining room in which there are up to ten or more people). The data obtained during the analysis of the algorithms is compared (such data are the number of frames processed per second, and the average load of the computer's central processor). The most efficient algorithms that coped with the task most quickly, accurately and with the least expenditure of resources, were identified, as well as those that coped with the task the worst. © Published under licence by IOP Publishing Ltd.
Журнал: Journal of Physics: Conference Series
Выпуск журнала: Vol. 1661, Is. 1
Номера страниц: 12041
ISSN журнала: 17426588
Издатель: IOP Publishing Ltd