title: ÐÐ»Ð³Ð¾ÑÐ¸ÑÐ¼ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð¾Ð±ÑÐµÐºÑÐ¾Ð² Ñ Ð¾Ð±ÑÑÐµÐ½Ð¸ÐµÐ¼ Ð² ÑÐµÐ°Ð»ÑÐ½Ð¾Ð¼ Ð²ÑÐµÐ¼ÐµÐ½Ð¸ Ð´Ð»Ñ Ð¾Ð¿ÑÐ¸ÐºÐ¾-ÑÐ»ÐµÐºÑÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ
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: Object detection algorithm with real-time learning for an optoelectronic system
Creators: name: ÐÐµÑÑÐµÐ½, ÐÐ°Ð²ÐµÐ»
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: 2021
Subjects: Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹
Ð¼ÐµÑÐ¾Ð´ Ð¾Ð¿Ð¾ÑÐ½ÑÑ Ð²ÐµÐºÑÐ¾ÑÐ¾Ð²
Ð¾Ð½Ð»Ð°Ð¹Ð½-Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
machine learning
image classification
support vector machine
online learning

description: Ð¢ÐµÐ¼Ð° Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¹ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ: âÐÐ»Ð³Ð¾ÑÐ¸ÑÐ¼ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð¾Ð±ÑÐµÐºÑÐ¾Ð² Ñ Ð¾Ð±ÑÑÐµÐ½Ð¸ÐµÐ¼ Ð² ÑÐµÐ°Ð»ÑÐ½Ð¾Ð¼ Ð²ÑÐµÐ¼ÐµÐ½Ð¸ Ð´Ð»Ñ Ð¾Ð¿ÑÐ¸ÐºÐ¾-ÑÐ»ÐµÐºÑÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñâ. ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð¾Ð±ÑÐµÐºÑÐ° Ð¸ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐµ Ð½Ð¾Ð²Ð¾Ð³Ð¾ Ð²ÑÑÐ¸ÑÐ»Ð¸ÑÐµÐ»ÑÐ½Ð¾ Ð±ÑÑÑÑÐ¾Ð³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð°, Ð¸Ð¼ÐµÑÑÐµÐ³Ð¾ ÑÐ»ÑÑÑÐµÐ½Ð½ÑÐµ Ð¿Ð¾ÐºÐ°Ð·Ð°ÑÐµÐ»Ð¸ Ð²ÐµÑÐ¾ÑÑÐ½Ð¾ÑÑÐ¸ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ Ð¾Ð±ÑÐµÐºÑÐ° Ð´Ð»Ñ Ð¼Ð½Ð¾Ð³Ð¾Ð°Ð³ÐµÐ½ÑÐ½Ð¾Ð³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð¸ ÑÐ¾Ð¿ÑÐ¾Ð²Ð¾Ð¶Ð´ÐµÐ½Ð¸Ñ Ð½ÐµÐ´ÐµÑÐµÑÐ¼Ð¸Ð½Ð¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÑ Ð¾Ð±ÑÐµÐºÑÐ¾Ð². ÐÐ°Ð´Ð°ÑÐ¸, ÐºÐ¾ÑÐ¾ÑÑÐµ ÑÐµÑÐ°Ð»Ð¸ÑÑ Ð² ÑÐ¾Ð´Ðµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ: 1. ÐÐ·ÑÑÐµÐ½Ð¸Ðµ Ð¾ÑÐ¾Ð±ÐµÐ½Ð½Ð¾ÑÑÐµÐ¹ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð¾Ð±ÑÐµÐºÑÐ¾Ð², Ð¿ÑÐ¸Ð¼ÐµÐ½ÑÐµÐ¼ÑÑ Ð² Ð¼ÐµÑÐ¾Ð´Ð°Ñ ÑÐ»ÐµÐ¶ÐµÐ½Ð¸Ñ Ð·Ð° ÑÐµÐ»ÑÑ. 2. Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð¸ ÐºÐ¾ÑÑÐµÐºÑÐ¸ÑÐ¾Ð²ÐºÐ¸ Ð¿Ð¾Ð·Ð¸ÑÐ¸Ð¸ Ð¾Ð±ÑÐµÐºÑÐ°. 3. Ð ÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½Ð¾Ð³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð¸ ÐµÐ³Ð¾ ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð² ÑÐ°Ð±Ð¾ÑÐµÐ¹ ÑÑÐµÐ´Ðµ. 4. ÐÑÐµÐ½ÐºÐ° Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½ÑÑ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð². Ð Ð°Ð±Ð¾ÑÐ° Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð° Ð½Ð° Ð±Ð°Ð·Ðµ ÐÐâÐÐÐâÐÐÐ­â, Ð³Ð´Ðµ Ð±ÑÐ»Ð¾ Ð¿ÑÐµÐ´Ð¾ÑÑÐ°Ð²Ð»ÐµÐ½Ð¾ ÑÐ°Ð±Ð¾ÑÐµÐµ Ð¾ÐºÑÑÐ¶ÐµÐ½Ð¸Ðµ, ÑÑÐµÐ´ÑÑÐ²Ð° Ð¿Ð¾ Ð¾ÑÐ»Ð°Ð´ÐºÐµ Ð¸ ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ. ÐÑÐµÐ´ÑÑÐ°Ð²Ð»ÐµÐ½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° ÑÐ²Ð»ÑÐµÑÑÑ ÑÐ°ÑÑÑÑ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° ÑÐ»ÐµÐ¶ÐµÐ½Ð¸Ñ, ÑÐ°Ð·ÑÐ°Ð±Ð°ÑÑÐ²Ð°ÐµÐ¼Ð¾Ð³Ð¾ Ð² ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ð¸. Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ Ð¿Ð¾Ð»ÑÑÐµÐ½ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð¾Ð±ÑÐµÐºÑÐ¾Ð² Ñ Ð¾Ð±ÑÑÐµÐ½Ð¸ÐµÐ¼ Ð² ÑÐµÐ°Ð»ÑÐ½Ð¾Ð¼ Ð²ÑÐµÐ¼ÐµÐ½Ð¸, ÑÐ¾Ð¾ÑÐ²ÐµÑÑÑÐ²ÑÑÑÐ¸Ð¹ Ð·Ð°Ð´Ð°Ð½Ð½ÑÐ¼ ÐºÑÐ¸ÑÐµÑÐ¸ÑÐ¼, Ð²Ð½ÐµÐ´ÑÐµÐ½ Ð² Ð¿ÑÐ¾Ð´ÑÐºÑ Ð¿Ð¾ ÑÐ»ÐµÐ¶ÐµÐ½Ð¸Ñ Ð·Ð° Ð¾Ð±ÑÐµÐºÑÐ°Ð¼Ð¸. ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð° Ð¾ÑÐµÐ½ÐºÐ° Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½ÑÑ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð².
description: The theme of final qualification work is âObject detection algorithm with real-time learning for an optoelectronic systemâ. This work is devoted to the study of existing algorithms for object detection and development of a new computationally fast algorithm with improved object detection probability for a multi-agent algorithm for automatic detection and tracking of nondeterministic objects. Tasks that were solved in the course of the study: 1. Study of the features of object detection algorithms used in target tracking methods. 2. Development of an algorithm for detecting and correcting the position of an object. 3. Implementation of the developed algorithm and its testing in the production environment 4. Evaluation of the results obtained. The work was carried out on the basis of JSC "NPPâAMEâ, where the working environment, debugging and testing tools were provided. The presented work is part of the tracking algorithm being developed in the company. As a result, an object detection algorithm with real-time learn-ing that meets the specified criteria is obtained and implemented in the object tracking product. The corresponding results were evaluated.