Determining confidence of object identification
First Claim
1. A system for determining confidence of object identification, the system comprising:
- a communication module configured to receive a first object identification of an object, the first object identification comprising first discrimination identification and one or more first identification parameters;
an object identification module configured to generate a second object identification of the object based on a received set of data, the second object identification comprising second discrimination identification and one or more second identification parameters;
a confidence rules module configured to select at least one confidence rule from a plurality of confidence rules based on the first discrimination identification and the second discrimination identification;
an object confidence module configured to generate an object confidence weight based on the one or more first identification parameters, the one or more second identification parameters, and the selected at least one confidence rule;
a data fusion module configured to fuse the received set of data based on an alpha parameter, a beta parameter, and the object confidence weight, the alpha parameter associated with a fusion function and the beta parameter associated with a degree of expected independence of a received set of data and the received set of data comprising information associated with a classification of the object; and
a probability of identification module configured to generate a probability of identification of the classification of the object based on the fused data.
1 Assignment
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Accused Products
Abstract
The technology described herein includes a system and/or a method for determining confidence of object identification. The technology includes selecting at least one confidence rule from a plurality of confidence rules based on a first discrimination identification and a second discrimination identification. The technology further includes generating an object confidence weight based on one or more first identification parameters, one or more second identification parameters, and the selected at least one confidence rule. The technology further includes fusing the received set of data based on an alpha parameter, a beta parameter, and the object confidence weight. The technology further includes generating a probability of identification of a classification of the object based on the fused data.
21 Citations
17 Claims
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1. A system for determining confidence of object identification, the system comprising:
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a communication module configured to receive a first object identification of an object, the first object identification comprising first discrimination identification and one or more first identification parameters; an object identification module configured to generate a second object identification of the object based on a received set of data, the second object identification comprising second discrimination identification and one or more second identification parameters; a confidence rules module configured to select at least one confidence rule from a plurality of confidence rules based on the first discrimination identification and the second discrimination identification; an object confidence module configured to generate an object confidence weight based on the one or more first identification parameters, the one or more second identification parameters, and the selected at least one confidence rule; a data fusion module configured to fuse the received set of data based on an alpha parameter, a beta parameter, and the object confidence weight, the alpha parameter associated with a fusion function and the beta parameter associated with a degree of expected independence of a received set of data and the received set of data comprising information associated with a classification of the object; and a probability of identification module configured to generate a probability of identification of the classification of the object based on the fused data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for determining confidence of object identification, the method comprising:
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receiving a first object identification of an object, the first object identification comprising first discrimination identification and one or more first identification parameters; generating a second object identification of the object based on a received set of data, the second object identification comprising second discrimination identification and one or more second identification parameters; selecting at least one confidence rule from a plurality of confidence rules based on the first discrimination identification and the second discrimination identification; generating an object confidence weight based on the one or more first identification parameters, the one or more second identification parameters, and the selected at least one confidence rule; fusing the received set of data based on an alpha parameter, a beta parameter, and the object confidence weight, the alpha parameter associated with a fusion function and the beta parameter associated with a degree of expected independence of a received set of data and the received set of data comprising information associated with a classification of the object; and generating a probability of identification of the classification of the object based on the fused data. - View Dependent Claims (12, 13, 14, 15, 16)
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17. A computer program product, tangibly embodied in an information carrier, the computer program product including instructions being operable to cause a data processing apparatus to:
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receive a first object identification of an object, the first object identification comprising first discrimination identification and one or more first identification parameters; generate a second object identification of the object based on a received set of data, the second object identification comprising second discrimination identification and one or more second identification parameters; select at least one confidence rule from a plurality of confidence rules based on the first discrimination identification and the second discrimination identification; generate an object confidence weight based on the one or more first identification parameters, the one or more second identification parameters, and the selected at least one confidence rule; fuse the received set of data based on an alpha parameter, a beta parameter, and the object confidence weight, the alpha parameter associated with a fusion function and the beta parameter associated with a degree of expected independence of a received set of data and the received set of data comprising information associated with a classification of the object; and generate a probability of identification of the classification of the object based on the fused data.
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Specification