CCTV Operator Performance Benchmarking

2012 IEEE International Carnahan Conference on Security Technology (ICCST) Pub Date : 2012-12-31 DOI:10.1109/CCST.2012.6393580

S. Rankin, N. Cohen, K. MacLennan-Brown, K. Sage

{"title":"CCTV Operator Performance Benchmarking","authors":"S. Rankin, N. Cohen, K. MacLennan-Brown, K. Sage","doi":"10.1109/CCST.2012.6393580","DOIUrl":null,"url":null,"abstract":"A range of automated video analytics systems (VAS) is increasingly being used to improve efficiency and effectiveness within CCTV control rooms. Their role is to manage the large volumes of surveillance data that are constantly generated and to sift the data in real time to detect incidents or activities of specific interest. The CCTV Operator Performance Benchmarking project investigated, through commissioning operator trials, the performance of human operators on detection and tracking tasks and the factors that affect the performance of human operators. Human performance can then be compared against that obtained from automated systems. Through the development of publicly available guidance documents, CAST hopes to improve the benefits brought by VAS to the control room environment, and to ensure they are deployed in an appropriate manner. The paper will discuss the trials and explore the results obtained. It will discuss the factors that can have both a positive and detrimental effect on operators' performance and the appropriate environments where the introduction of VAS can bring great benefits.","PeriodicalId":405531,"journal":{"name":"2012 IEEE International Carnahan Conference on Security Technology (ICCST)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Carnahan Conference on Security Technology (ICCST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCST.2012.6393580","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 12

Abstract

A range of automated video analytics systems (VAS) is increasingly being used to improve efficiency and effectiveness within CCTV control rooms. Their role is to manage the large volumes of surveillance data that are constantly generated and to sift the data in real time to detect incidents or activities of specific interest. The CCTV Operator Performance Benchmarking project investigated, through commissioning operator trials, the performance of human operators on detection and tracking tasks and the factors that affect the performance of human operators. Human performance can then be compared against that obtained from automated systems. Through the development of publicly available guidance documents, CAST hopes to improve the benefits brought by VAS to the control room environment, and to ensure they are deployed in an appropriate manner. The paper will discuss the trials and explore the results obtained. It will discuss the factors that can have both a positive and detrimental effect on operators' performance and the appropriate environments where the introduction of VAS can bring great benefits.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

中央电视台营办商表现基准

一系列自动视频分析系统(VAS)越来越多地被用于提高CCTV控制室的效率和有效性。他们的作用是管理不断产生的大量监控数据，并实时筛选数据以检测特定兴趣的事件或活动。CCTV操作员表现基准项目通过调试操作员试验，调查了人工操作员在检测和跟踪任务中的表现，以及影响人工操作员表现的因素。然后，可以将人的表现与自动化系统的表现进行比较。CAST希望通过制定公开可用的指导文件，提高VAS给控制室环境带来的好处，并确保它们以适当的方式部署。本文将讨论试验并探讨所获得的结果。它将讨论可能对运营商的业绩产生积极和有害影响的因素，以及引入VAS可以带来巨大好处的适当环境。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

2012 IEEE International Carnahan Conference on Security Technology (ICCST)

自引率

0.00%

发文量