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A scene interpretation approach to high-level target tracking

High-level algorithms are needed to take tracking sensor reports as input and produce continuous, labeled, target tracks as output. These algorithms will aid human track analysts in sorting through ever-increasing numbers of sensors and targets. The action of such a system is similar to that of computer vision systems; that is, it performs intelligent reasoning about sensed data to infer the characteristics of a spatially organized set of objects. Some of the issues that must be resolved in such a system are knowledge representation, control schemes, uncertainty management, and timeliness. Although progress has been made in establishing a framework for such a system, further work is necessary before a totally automated track analysis system is realized.