Standards-based tracking

摘要

Automated moving object detection and tracking are becoming cornerstone technologies for the proliferation of video and wide-area persistent surveillance systems. Emerging wide-area persistent surveillance platforms promise increasingly long periods of surveillance and increasingly wide areas of coverage with increasingly high-detail imagery over the entire area of interest, but the volume of data collected threatens to overwhelm our ability to understand the implications of the data. This paper describes a standards-based metadata architecture to support development of advanced automated movement detection and tracking capabilities - and ultimately "activity" recognition - to help the human observer bring the data volume under control.