Forensic approaches to the evaluation of video observation systems effectiveness

Aleksandra Sergeevna Sulyaeva
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Abstract

The article considers the topical issues of facial recognition in video images. The author studies the modern methods of using facial recognition technologies. The research covers the current methods and software systems able to use list-based facial recognition technologies. The article contains the requirements to information technologies and means, and to the reference facial images. Special attention is given to the problems of legal regulation of the requirements to technical means used for image acquisition. The author analyzes the factors impacting on the objectivity and comprehensiveness of imaging a person’s appearance. The author analyzes one of the groups of factors connected with the conditions of recording. The author arrives at the conclusion that in order to raise the effectiveness of the work of video observation systems, it is necessary to follow the requirements to information technologies and information references. The author notes that, based on the tasks of law-enforcement agencies and the analysis of factors impacting on the effectiveness of video observation systems, there is a necessity to develop a video observation systems evaluation system.   
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视频观测系统有效性评估的法医方法
本文研究了视频图像中人脸识别的热点问题。作者研究了人脸识别技术的现代应用方法。该研究涵盖了当前能够使用基于列表的面部识别技术的方法和软件系统。文章包含了对信息技术和手段的要求,以及对参考人脸图像的要求。特别注意对用于图像采集的技术手段的要求进行法律规定的问题。分析了影响人物形象成像客观性和全面性的因素。作者分析了与记录条件有关的一组因素。本文认为,为了提高视频观测系统的工作效率,必须遵循信息技术和信息参考的要求。笔者认为,根据执法机关的任务和影响视频观测系统有效性的因素分析,有必要开发一套视频观测系统评估体系。
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