Hybrid architecture for acquisition, recognition, and fusion
First Claim
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1. A method comprising the steps of:
- producing one or more signals representative of a feature of a target or area of interest;
statistically processing the signals to produce one or more first hypotheses of the target or area of interest;
comparing the first hypotheses to one or more templates in a template library to produce one or more second hypotheses, wherein if at least one of the templates does not match at least one of the first hypotheses, then retrieving at least one additional first hypothesis for comparison with the one or more templates;
comparing the second hypotheses to one or more models in a model library to produce a target decision, wherein if at least one of the models does not match at least one of the second hypotheses, then retrieving at least one additional second hypothesis for comparison with the one or more models; and
outputting the target decision identifying the target.
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Abstract
A method comprises the steps of: producing one or more signals representative of a feature of a target or area of interest, statistically processing the signals to produce one or more first hypotheses of the target or area of interest, comparing the first hypotheses to one or more templates in a template library to produce one or more second hypotheses, and comparing the second hypotheses to one or more models in a model library to produce a target decision. An apparatus that performs the method is also provided.
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Citations
19 Claims
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1. A method comprising the steps of:
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producing one or more signals representative of a feature of a target or area of interest; statistically processing the signals to produce one or more first hypotheses of the target or area of interest; comparing the first hypotheses to one or more templates in a template library to produce one or more second hypotheses, wherein if at least one of the templates does not match at least one of the first hypotheses, then retrieving at least one additional first hypothesis for comparison with the one or more templates; comparing the second hypotheses to one or more models in a model library to produce a target decision, wherein if at least one of the models does not match at least one of the second hypotheses, then retrieving at least one additional second hypothesis for comparison with the one or more models; and outputting the target decision identifying the target. - View Dependent Claims (2, 3, 4, 5, 6, 19)
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7. An apparatus comprising:
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a plurality of sensors for producing one or more signals representative of a feature of a target or area of interest; and a processor for statistically processing the signals to produce one or more first hypotheses of the target or area of interest, for comparing the first hypotheses to one or more templates in a template library to produce one or more second hypotheses, wherein if at least one of the templates does not match at least one of the first hypotheses, then retrieving at least one additional first hypothesis for comparison with the one or more templates, and for comparing the second hypotheses to one or more models in a model library to produce a target decision output, wherein if at least one of the models does not match at least one of the second hypotheses, then retrieving at least one additional second hypothesis for comparison with the one or more models. - View Dependent Claims (8, 9, 10, 11, 12)
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13. An apparatus comprising:
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means for producing one or more signals representative of a feature of a target or area of interest; means for statistically processing the signals to produce one or more first hypotheses of the target or area of interest; means for comparing the first hypotheses to one or more templates in a template library to produce one or more second hypotheses, wherein if at least one of the templates does not match at least one of the first hypotheses, then retrieving at least one additional first hypothesis for comparison with the one or more templates; and means for comparing the second hypotheses to one or more models in a model library to produce a target decision output identifying the target, wherein if at least one of the models does not match at least one of the second hypotheses, then retrieving at least one additional second hypothesis for comparison with the one or more models. - View Dependent Claims (14, 15, 16, 17, 18)
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Specification