Location Classification Based on License Plate Recognition Information
First Claim
1. A method comprising:
- receiving a plurality of LPR instances within a search zone around a cluster of one or more LPR instances associated with a target license plate number, wherein the plurality of LPR instances includes LPR instances associated with a plurality of different license plate numbers;
determining one or more LPR metrics based on the plurality of LPR instances;
classifying a location associated with the cluster of one or more LPR instances based at least in part on the one or more LPR metrics; and
storing an indication of the classification of the location.
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Accused Products
Abstract
Methods and systems for Methods and systems for classifying the locations of a vehicle of interest based on License Plate Recognition (LPR) instances are described herein. Locations associated with LPR instances matching a particular license plate number are classified based on LPR information gathered within search zones around each location. Clusters of one or more LPR instances associated with a target license plate number are identified. A search zone is defined around a cluster of one or more LPR instances associated with a target license plate number. LPR instances associated with other license plate numbers within the search zone are received from an LPR server, and a location associated with the search zone is classified based on LPR information gathered within the search zone. In some examples, the location classification is based on LPR activity matching a target license plate number, general LPR activity within the search zone, or both.
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Citations
20 Claims
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1. A method comprising:
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receiving a plurality of LPR instances within a search zone around a cluster of one or more LPR instances associated with a target license plate number, wherein the plurality of LPR instances includes LPR instances associated with a plurality of different license plate numbers; determining one or more LPR metrics based on the plurality of LPR instances; classifying a location associated with the cluster of one or more LPR instances based at least in part on the one or more LPR metrics; and storing an indication of the classification of the location. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. An apparatus comprising:
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a processor; and a memory storing an amount of program code that, when executed, causes the apparatus to receive a plurality of LPR instances within a search zone around a cluster of one or more LPR instances associated with a target license plate number, wherein the plurality of LPR instances includes LPR instances associated with a plurality of different license plate numbers; determine a plurality of LPR metrics based on the plurality of LPR instances; classify a location associated with the cluster of one or more LPR instances based at least in part on the plurality of LPR instances; and store an indication of the classification of the location. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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19. A non-transitory, computer-readable medium, comprising:
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code for causing a computer to receive a plurality of LPR instances within a search zone around a cluster of one or more LPR instances associated with a target license plate number, wherein the plurality of LPR instances includes LPR instances associated with a plurality of different license plate numbers; code for causing the computer to determine one or more LPR metrics based on the plurality of LPR instances; code for causing the computer to classify a location associated with the cluster of one or more LPR instances based at least in part on the one or more LPR metrics; and code for causing the computer to store an indication of the classification of the location. - View Dependent Claims (20)
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Specification