1. A computer-implemented method, comprising: receiving a sequence of video frames from a video camera; receiving a request to view a scene depicted in the sequence of video frames; identifying and tracking at least one object between separate frames of the sequence of video frames; classifying each tracked object based on a known category of objects; generating a stream of context events associated with each tracked object; generating a sequence of primitive events based on the stream of context events; storing the stream of context events and the sequence of primitive events in one or more adaptive resonance theory (ART) networks; storing detailed data in the one or more ART networks related to an event based on the stream of context events and the sequence of primitive events; storing generalized data in the one or more ART networks related to an event based on the stream of context events and the sequence of primitive events; and evaluating the stream of context events, the sequence of primitive events, the detailed data, and the generalized data with the one or more ART networks to learn patterns of behavior that occur within the scene.