Vehicle prediction and association tool based on license plate recognition

A method comprising:

• receiving an indication of a physical location and a license plate number associated with a person of interest;
• determining a plurality of clusters of license plate recognition (LPR) instances associated with the physical location and the license plate number, wherein the determining of each of the clusters of LPR instances involves:
• determining a time difference between successive LPR instances;
• and
• determining if the time difference between successive LPR instances is less than a predetermined threshold;
• and
• determining a relative likelihood of locating the person of interest at a particular location at a future point in time based on at least one attribute of the clusters of LPR instances associated with the physical location and the license plate number.

An apparatus comprising:

• a processor;
• and
• a memory storing an amount of program code that, when executed causes the processor to
• receive an indication of a plurality of license plate recognition (LPR) instances within a search area of a physical location associated with a person of interest;
• determine a plurality of clusters of the plurality of license plate recognition (LPR) instances associated with the physical location, wherein the determining of each of the clusters of the plurality of LPR instances involves:
• determining a time difference between successive LPR instances;
• and
• determining if the time difference between successive LPR instances is less than a predetermined threshold;
• and
• determine at least one attribute of each of the plurality of clusters of LPR instances;
• and
• determine the relative likelihood of locating the person of interest at the physical location based on the at least one attribute.