视频中实时目标识别算法的发展

2020 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO) Pub Date : 2020-07-01 DOI:10.1109/SYNCHROINFO49631.2020.9166075

M. Gorodnichev, M. Moseva, K. Dzhabrailov, Ринат Гематудинов

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引用次数: 1

摘要

目前，模式识别理论应用于人类生活的许多领域。使用这些技术可以提高解决问题的效率，并有助于减少基于人为因素的错误数量。本文讨论了物体识别的基本方法，描述了一个解决图像检测和识别问题的软件产品的创建。开发的应用程序是多线程的，它允许有效地处理大量信息。该应用程序是为Windows系列操作系统设计的，基于。净框架。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Development of Algorithms for Recognition of Objects in Video in Real Time

Currently, the theory of pattern recognition is used in many areas of human life. The use of such technologies can improve the efficiency of solving problems and helps reduce the number of errors based on the human factor. In this paper, the basic methods of object recognition are considered, the creation of a software product for solving the problem of detecting and recognizing images is described. The developed application is multithreaded, which allows efficient processing of large volumes of information. The application is designed for operating systems of the Windows family, based on the. NET Framework.

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2020 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO)

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