Patent ID: 7667596

Claim:
A surveillance system, comprising: a data capture module collecting sensor data, wherein the sensor data includes video surveillance footage of an object being monitored; a scoring engine module receiving the sensor data and computing at least one of an abnormality score and a normalcy score based on the sensor data, at least one dynamically loaded learned data model, and a plurality of learned scoring methods, wherein each learned scoring method generates a subscore used to compute the at least one of the abnormality score and the normalcy score, and wherein the abnormality score and the normalcy score indicate an amount of divergence or adherence to the at least one dynamically loaded learned data model by the object being monitored; and a decision making module receiving the at least one of the abnormality score and the normalcy score and generating an alert message based on the at least one of the abnormality score and the normalcy score and a learned decision making method to produce progressive behavior and threat detection.