Patent Document ID: 20110043626
Application ID: 12543307
Patent Status: 0

Claim One:
1. A computer-implemented method for analyzing a scene depicted in an input stream of video frames captured by a video camera of a video surveillance system, the method comprising: receiving a first sequence storing an ordered string of labels, wherein each label in the string corresponds to a cluster in an adaptive resonance theory (ART) network, wherein the string of labels is generated by mapping kinematic data vectors generated for a foreground object detected in the input stream of video frames to nodes of a self-organizing map (SOM) and clustering the nodes of the SOM using the ART network; identifying one or more segments in the first sequence, wherein each segment includes a subsequence of the ordered string of labels in the first sequence; determining a probability of observing each of the one or more segments relative to a probability distribution generated from an ngram trie, wherein the ngram trie is generated from a plurality of previously observed sequences, wherein each sequence of the plurality stores an ordered string of labels assigned to clusters in the ART network; upon determining a first one of the segments has a probability of being observed below a specified threshold, issuing an alert to a user of the video surveillance system.