Video Content Analysis with Effective Response
David B. Abrams, Steven McDowall · 2007
Video content analytics effectively identifies threats in video surveillance camera feeds. These behaviors include person/vehicle entering restricted zone, counter-flow detection, loitering, object left behind, and others. In order to provide enhanced security, events need to be integrated with a command and control system capable of effectively responding to hundreds of events per day in a busy, critical infrastructure facility. We describe a novel system -NerveCenter - that links analytic events with command center data wall camera pop-ups on alarm, extended notification tools that send multi-modal alerts, acknowledgement tracking, 911 computer aided dispatch (CAD), and geo-coded mapping tools that give operators a tactical map. The usability of these tools is discussed along with how to provide situational awareness and a common operating picture to operators and first responders.