Year
1989
Abstract
The Digital Automatic Video Intrusion Detection (DAVID) sensor was introduced in 1983 [1]. Since then, hundreds of DAVID video intrusion detection sensors have been successfully deployed 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.