Object identification via data fusion
First Claim
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1. A system for identifying an object, the system comprising:
- an alpha parameter module configured to determine an alpha parameter, the alpha parameter associated with a fusion function;
a beta parameter module configured to determine a beta parameter, 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;
a data fusion module configured to fuse the received set of data based on the alpha parameter and the beta parameter; and
a probability of identification module configured to generate a probability of identification of the classification of the object based on the fused data.
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Abstract
The technology described herein includes a system and/or a method for identifying an object. The technology includes determining an alpha parameter that is associated with a fusion function. The technology includes determining a beta parameter that is associated with a degree of expected independence of a received set of data and the received set of data including information associated with a classification of the object. The technology includes fusing the received set of data based on the alpha parameter and the beta parameter. The technology includes generating a probability of identification of the classification of the object based on the fused data.
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Citations
17 Claims
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1. A system for identifying an object, the system comprising:
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an alpha parameter module configured to determine an alpha parameter, the alpha parameter associated with a fusion function; a beta parameter module configured to determine a beta parameter, 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; a data fusion module configured to fuse the received set of data based on the alpha parameter and the beta parameter; 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)
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10. A method, implemented on a processor, for identifying an object, the method comprising:
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determining an alpha parameter, the alpha parameter associated with a fusion function; determining a beta parameter, 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; fusing the received set of data based on the alpha parameter and the beta parameter; and generating a probability of identification of the classification of the object based on the fused data. - View Dependent Claims (11, 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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determine an alpha parameter, the alpha parameter associated with a fusion function; determine a beta parameter, 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; fuse the received set of data based on the alpha parameter and the beta parameter; and
generate a probability of identification of the classification of the object based on the fused data.
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Specification