IMPLEMENTATION OF METHODS OF DETECTION AND SEPARATION OF VIDEOS IN REAL TIME (DEVELOPMENT OF SOFTWARE COLLECTION)

This article presents the results of scientific research on images, videos, as well as the separation of people from the camera in real time and their accounting. In this case, first of all, information is provided on the division of objects into categories. A model has been proposed for taking the background when separating objects from images. Methods for eliminating excessive noise (interference) in images are given. The software was developed using OpenCV in the Python programming language, using the capabilities of the tensorfow library for images, videos and real-time detection and accounting of human objects from the camera.

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