System and method for centralized person re-identification and unique person id retention across multiple cameras

A system for tracking individual persons across a plurality of cameras and over extended periods, comprising:

• the plurality of cameras;
• event streaming processing circuitry configured to receive continuous streams of data from the plurality of cameras, including a plurality of image frames, and output a plurality of short-term person IDs assigned to persons in a field of view of a camera of the plurality of cameras;
• a server configured with one or more artificial intelligence (AI) based models for person detection and embedding vector extraction to obtain person bounding box images and person embedding vectors from the plurality of image frames;
• application processing circuitry configured with an Embedding Manager and an ID Manager, wherein the Embedding Manager maintains a collection of distinct embedding vectors for each of a plurality of persons, wherein the ID Manager is configured to map the plurality of short-term person IDs for a person to respective long-term IDs, wherein the ID Manager associates the person to a unique long-term ID across the plurality of cameras;
• a Tensor Database system for maintaining the extracted embedding vectors;
• and
• an output device configured to track the person appearing across the plurality of cameras based on the long-term ID.