Updating a behavioral model for a person in a physical space

A method comprising:

• obtaining at least two images of a first person from at least two cameras located in a plurality of designated areas of a physical space;
• obtaining, by a processor of a computing device, metadata associated with the images of the first person;
• based on the images and the metadata, determining, by the processor, within the plurality of designated areas a set of designated areas visited by the first person;
• for each designated area within the set of designated areas, determining, by the processor, an area information of a first path taken by the first person in the physical space, wherein the area information comprises at least one of:
• a description of the designated area,
• a set of objects located at the designated area,
• a time at which the first person visited the designated area,
• an amount of time spent by the first person at the designated area,
• whether the first person inspected a product at the designated area, and
• whether the first person left the designated area with the product;
• and
• executing, by the processor, a statistical analysis on data that represents historical paths taken by a plurality of people in the physical space to generate different path categories shared by the plurality of people;
• classifying, by the processor, the first person according to one of the different path categories based on the area information of the first path taken by the first person;
• updating, by the processor, a database with information related to the first person, including the path category associated with the first person in the physical space and data associated with the set of designated areas visited by the first person and the area information associated with each designated area within the set of designate areas.

A non-transitory machine-readable storage medium storing instructions executable by a processor of a computing device to cause the computing device to:

• obtain a plurality of images of a physical space comprising a plurality of designated areas;
• identify, within the plurality of images, a set of images of a same first person, wherein at least two of the set of images are captured by different cameras having different fields of view;
• from the set of images, determine a set of designated areas visited by the first person and a set of timestamps on the set of images, respectively;
• generate path data associated with the first person based on the set of timestamps and the set of the designated areas;
• classify the first person according to one of a plurality of different path categories in a behavioral model based on the path data associated with the first person, wherein the behavioral model incorporates data that represents historical paths taken by a plurality of people in the physical space;
• and
• update the behavioral model based on information related to the first person, including the path data associated with the first person and the path category associated with the first person in the physical space.