System and method for automatic driver identification
First Claim
1. A method for driver identification comprising:
- recording, at a vehicle sensor system and at a first time point, a first image of a vehicle driver;
extracting a set of values for a set of facial features of the vehicle driver from the first image;
determining a filtering parameter;
selecting a cluster of driver identifiers from a set of clusters based on the filtering parameter, wherein the set of clusters defines a set of driver identifiers and each cluster of the set of clusters defines a subset of the set of driver identifiers, wherein each cluster is associated with at least one filtering parameter, wherein the selected cluster comprises at least two driver identifiers of the set of driver identifiers;
computing a probability that the set of values is associated with each driver identifier by repeating;
recording a new image of the vehicle driver at a time point during a driving session and after the first time point;
extracting a new set of values for the set of facial features from the new image; and
computing the probability that the new set of values is associated with each driver identifier based on the new set of values;
determining, at the vehicle sensor system, driving characterization data for the driving session;
in response to the computed probability exceeding a first threshold probability;
determining that the new set of values corresponds to one driver identifier within the selected cluster; and
associating the driving characterization data with the one driver identifier; and
in response to the computed probability associated with each driver identifier in the cluster falling below a second threshold probability, automatically;
determining a new driver identifier, wherein the new driver identifier is distinct from the at least two driver identifiers of the selected cluster;
associating the new driver identifier with the set of values for the set of facial features of the vehicle driver;
associating the driving characterization data with the new driver identifier; and
adding the new driver identifier to the selected cluster of driver identifiers.
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Abstract
A method for driver identification including recording a first image of a vehicle driver; extracting a set of values for a set of facial features of the vehicle driver from the first image; determining a filtering parameter; selecting a cluster of driver identifiers from a set of clusters, based on the filtering parameter; computing a probability that the set of values is associated with each driver identifier of the cluster; determining, at the vehicle sensor system, driving characterization data for the driving session; and in response to the computed probability exceeding a first threshold probability: determining that the new set of values corresponds to one driver identifier within the selected cluster, and associating the driving characterization data with the one driver identifier.
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Citations
19 Claims
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1. A method for driver identification comprising:
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recording, at a vehicle sensor system and at a first time point, a first image of a vehicle driver; extracting a set of values for a set of facial features of the vehicle driver from the first image; determining a filtering parameter; selecting a cluster of driver identifiers from a set of clusters based on the filtering parameter, wherein the set of clusters defines a set of driver identifiers and each cluster of the set of clusters defines a subset of the set of driver identifiers, wherein each cluster is associated with at least one filtering parameter, wherein the selected cluster comprises at least two driver identifiers of the set of driver identifiers; computing a probability that the set of values is associated with each driver identifier by repeating; recording a new image of the vehicle driver at a time point during a driving session and after the first time point; extracting a new set of values for the set of facial features from the new image; and computing the probability that the new set of values is associated with each driver identifier based on the new set of values; determining, at the vehicle sensor system, driving characterization data for the driving session; in response to the computed probability exceeding a first threshold probability; determining that the new set of values corresponds to one driver identifier within the selected cluster; and associating the driving characterization data with the one driver identifier; and in response to the computed probability associated with each driver identifier in the cluster falling below a second threshold probability, automatically; determining a new driver identifier, wherein the new driver identifier is distinct from the at least two driver identifiers of the selected cluster; associating the new driver identifier with the set of values for the set of facial features of the vehicle driver; associating the driving characterization data with the new driver identifier; and adding the new driver identifier to the selected cluster of driver identifiers. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for driver identification comprising:
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detecting a sampling event at a vehicle sensor system within a vehicle driven by a vehicle driver; determining a filtering parameter in response to sampling event detection; selecting a cluster of driver identifiers from a set of clusters based on the filtering parameter value, wherein the set of clusters defines a set of driver identifiers and each cluster of the set of clusters defines a subset of the set of driver identifiers, wherein each cluster is associated with at least one filtering parameter, wherein the selected cluster comprises at least two driver identifiers; in response to detecting the sampling event, computing a probability that the vehicle driver is associated with a driver identifier of the selected cluster, comprising iteratively; recording an image of the vehicle driver; extracting a set of facial feature values from the image; and updating the probability based on the set of facial feature values; determining, at the vehicle sensor system, driving characterization data during a driving session contemporaneous with detecting the sampling event; and in response to the computed probability exceeding a first threshold probability, associating the driving characterization data with the driver identifier. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19)
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Specification