Intelligent video behavior recognition with multiple masks and configurable logic inference module

A method of implementing complex behavior recognition in an intelligent video system including detection of multiple events which are defined activities of subjects of interest in different areas of the scene, where the events are of interest for behavior recognition and reporting purposes in the system, said method comprising:

• creating one or more of multiple possible masks defining areas of a scene to determine where a subject of interest is located;
• setting configurable time parameters to determine when such activity occurs;
• and
• using a configurable logic inference engine to perform Boolean logic analysis based on a combination of such events and masks.

An intelligent video system for capturing video of scenes, the system providing software-implemented segmentation of targets in said scenes based on processor-implemented interpretation of the content of the captured video, the improvement comprising software implementation for:

• providing a configurable logic inference engine;
• establishing masks for a video scene, the masks defining areas of the scene in which a logic-defined events may occur;
• establishing at least one Boolean equation for analysis of activities in the scenes relative to the masks by the logic inference engine mask according to rules established by the Boolean equation;
• and
• a user input interface providing preselection of the rules by a user of the system according to possible activity in the areas defined by the masks;
• the logic inference engine using such Boolean equation to report to a user of the system the logic-defined events as indicative of what, when and where a target has activities in one or more of the areas.