Designing Automated Wide-area Surveillance Systems
Video analytics detects pixel changes in a camera’s field of view to track and classify activity. Sophisticated algorithms compare the pixel count and location of the anomaly to determine size, speed of movement, real world location and uses that information to classify it as a human, car, ship or other object. These algorithms are currently being refined to the point where they can detect specific behaviors – an unattended bag, a person loitering, or a vehicle slowing below normal speeds.
Most security professionals are at least aware of these new advances in video analytics. What is less understood is how video analytics fundamentally changes the way that surveillance systems are designed. End users and integrators that understand the basic differences between a standard CCTV design and one that incorporates video analytics can make smarter upfront decisions that will result in maximum surveillance coverage. They can also save themselves a bundle.