title: Ð Ð°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ðµ Ð¸ Ð´ÐµÑÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð¿Ð¾Ð»ÑÑÐ½ÑÑ Ð¼ÐµÐ´Ð²ÐµÐ´ÐµÐ¹ Ð¿Ð¾ Ð°ÑÑÐ¾ÑÐ¾ÑÐ¾ÑÐ½Ð¸Ð¼ÐºÐ°Ð¼
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Recognition and detection of polar bears from aerial photographs
Creators: name: ÐÐ°ÑÐ°ÑÐ¾Ð²Ð¸Ñ, ÐÐ¸ÑÐ°Ð¸Ð»
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2020
Subjects: Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ðµ Ð¿Ð¾Ð»ÑÑÐ½Ð¾Ð³Ð¾ Ð¼ÐµÐ´Ð²ÐµÐ´Ñ
Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ðµ Ð¾Ð±ÑÐµÐºÑÐ¾Ð²
Ð°ÑÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ
polar bear detection
image processing
machine learning
object detection
data augmentation

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description: This work is devoted to the study of using methods of computer vision and machine learning for the detection and recognition of polar bears on the ice surface from aerial photographs are considered. The aim of this work is to develop an algorithm for recognizing and detecting polar bears on aerial photographs of the ice surface and to write a program for streaming processing of images. In the given work, the problem of finding objects in the image is divided into two main stages: the allocation of regions of interest and their subsequent classification. An analysis was made of segments of the images containing the bears to identify features by which the bears can be detected, as well as an analysis of several classifiers using machine learning. As a result, an algorithm was developed that combines the classical methods of computer vision with machine learning. The paper describes the algorithm, details of its software implementation, as well as comparing the effectiveness of the described approach with one of the most popular ways to process high-quality aerial photographs. According to the results of the work, one can estimate the effectiveness of the joint application of computer vision methods side by side with machine learning. Software implementation allows us to speed up the image processing process, which specialists spend years. The developed method and software are already being applied in practice, which indicates the relevance of the obtained solution in real problems.