David: advanced developments for the next generation of video intrusion detection

E. J. Kozlow
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引用次数: 4

Abstract

The Digital Automatic Video Intrusion Detection (DAVID) sensor was introduced at the International Carnahan Con ference on Security Technology in 1983. Since then, hundreds of DAVID video intrusion detection sensors have been suc cessfully deploied at nuclear facilities, correctional institutions, military bases and industrial complexes. This broad base of DAVID customers has provided Computing Devices Company with input regarding potential product improvements and new areas of application. During the past two years, Computing Devices company has embarked upon a vigorous research and development effort aimed at advancing DAVID's state-of-the-art performance in video intrusion detection. This paper describes a set of innovative enhancements of the DAVID sensor which serve to broaden its scope Of application, improve its performance and enhance its usability. Specifically, new DAVID algorithms have been designed to detect, classify and track intruders based on both horizontal and vertical components of intruder movement in the video image, to increase the probability of detection under all weather conditions and to reduce the nuisance alarm rate due to outdoor environmental disturbances.
大卫:下一代视频入侵检测的先进发展
数字自动视频入侵检测(DAVID)传感器是在1983年国际卡纳汉安全技术会议上提出的。从那时起,数百个DAVID视频入侵检测传感器已经成功地部署在核设施,惩教机构,军事基地和工业综合体。DAVID客户的广泛基础为计算设备公司提供了有关潜在产品改进和新应用领域的输入。在过去的两年里,计算设备公司已经开始了积极的研究和开发工作,旨在提高DAVID在视频入侵检测方面的最先进性能。本文介绍了DAVID传感器的一系列创新改进,拓宽了其应用范围,提高了其性能,增强了其可用性。具体来说,新的DAVID算法被设计为基于视频图像中入侵者运动的水平和垂直分量来检测、分类和跟踪入侵者,以增加在所有天气条件下的检测概率,并降低由于室外环境干扰而产生的滋扰报警率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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