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A method for static CCTV image analysis to improve biometric security systems

机译:一种用于静态CCTV图像分析以改善生物识别安全系统的方法

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摘要

In this paper, a concept of an access-control system based on mantrap and an analysis of static images from surveillance cameras is introduced. The results of this concept have been obtained by the analysis of images from surveillance cameras or digital cameras. These devises are not elements of mantraps. The motivation of this study is the importance of the ability to detect such events in a protected area. The method can be used as a supplement to a system of biometric identification of persons. The paper presents the structure of a threat detection system and subsequent operations on recorded images made by an application specially developed for this purpose. The paper discusses methods of collecting and recording data as well as methods of contextual and non-contextual processing of images that have a decisive impact on the final form of the material used for comparison with a database.
机译:本文介绍了一种基于Mantrap的访问控制系统的概念以及对监控摄像机的静态图像进行分析的方法。该概念的结果已通过分析监控摄像机或数字摄像机的图像获得。这些设计不是陷阱的要素。这项研究的动机是在保护区中检测此类事件的能力的重要性。该方法可以用作人的生物识别系统的补充。本文介绍了威胁检测系统的结构以及由为此目的专门开发的应用程序对记录的图像进行的后续操作。本文讨论了收集和记录数据的方法以及对图像进行上下文和非上下文处理的方法,这些方法对与数据库进行比较的材料的最终形式具有决定性影响。

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