METHOD AND APPARATUS FOR IDENTIFYING UNEXPECTED BEHAVIOR OF A CUSTOMER IN A RETAIL ENVIRONMENT USING DETECTED LOCATION DATA, TEMPERATURE, HUMIDITY, LIGHTING CONDITIONS, MUSIC, AND ODORS

A computer implemented method, apparatus, and computer usable program product for identifying unexpected behavioral patterns. The process parses event data derived from video data to identify behavioral patterns, wherein the event data comprises metadata describing events occurring in a selected environment. The process analyzes the behavioral patterns to identify a set of expected behavioral patterns occurring in the selected environment, and generates an expected behavioral model using the expected behavioral patterns. Thereafter, the process forms a set of unexpected behavioral patterns from the behavioral patterns inconsistent with the expected behavioral model.