动态目标检测工具在图形数据多线程和分布式处理中的实现和有效性评估

IF 1 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

International Journal on Information Technologies and Security Pub Date : 2023-03-01 DOI:10.59035/cmxq2840

O. Kravets, I. Aksenov, I. Atlasov, P. Rahman, Yu. R. Redkin, O. Frantsisko, L. Bozhko

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引用次数: 0

摘要

基于图像序列的现代监测和业务决策系统已广泛应用于各种应用领域。在图形对象识别阶段，通过与给定模板的轮廓对比分析，确定找到的动态对象属于感兴趣对象类别。本文是视频分析系统的理论、算法和软件组件系列文章的最后一篇。介绍了视频分析系统的结构组成、动态目标检测模块在视频序列上的实现特点，并对系统的效率进行了评价。

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Implementation and evaluation of the effectiveness of dynamic object detection tools for multithreaded and distributed processing of graphical data

Modern monitoring and operational decision-making systems based on image series have become widely used for a wide variety of applications. At the stage of identification of graphic objects, it is established that the found dynamic object belongs to the class of objects of interest based on a comparative analysis of its contours with a given template. The article is the final in a series of articles devoted to theoretical, algorithmic and software components of the video analytics system. The description of the structural components of the video analytics system, the features of the implementation of the dynamic object detection module on video sequences, and the evaluation of the efficiency of the system is presented.

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来源期刊

International Journal on Information Technologies and Security COMPUTER SCIENCE, INFORMATION SYSTEMS-

自引率

66.70%

发文量