Design of Algorithms for Video Monitoring and State Recognition System for Complex Equipments

机译：复杂设备视频监控与状态识别系统算法设计

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摘要

According to the technique requirements of a video monitoring and state recognition system for complex equipments,practical video image analysis and recognition algorithms are designed in this paper.Algorithms including dynamic registration of panel and precise adjustment of component based on Normalized Product Correlation (NPC),operation change detection based on Sobel edge strength dynamic analysis,multi-state component recognition based on Laplacian edge strength NPC matching,nixie tube reading based on NMI feature,meanwhile,the basic steps of these algorithms are given.The application experiments demonstrate the efficiency of the proposed algorithms.

机译：根据复杂设备视频监控与状态识别系统的技术要求，设计了实用的视频图像分析与识别算法。包括面板动态配准，基于归一化产品相关性（NPC）的组件精确调整等算法。基于Sobel边缘强度动态分析的操作变化检测，基于拉普拉斯边缘强度NPC匹配的多状态分量识别，基于NMI特征的数码管读取，同时给出了这些算法的基本步骤。应用实验证明了该算法的有效性。提出的算法。

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来源
《2011 Third Chinese Conference on Intelligent Visual Surveillance》|2011年|29-32|共4页
会议地点 Beijing(CN)
作者
YANG Xiao-gang; LI Chuan; CHEN Bin-wen; MENG Fei; XIA Zhao-hui;
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作者单位

The second artillery engineering university,Xi' an,710025,China;

Academe of the second artillery Equipment,Beijing,100085,China;

The second artillery engineering university,Xi' an,710025,China;

The second artillery engineering university,Xi' an,710025,China;

The second artillery engineering university,Xi' an,710025,China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类安全监控系统;
关键词
Pixels Texture Correlation; Target Detection; Background Model;

机译：像素纹理相关；目标检测；背景模型;

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Design of Algorithms for Video Monitoring and State Recognition System for Complex Equipments

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