Information Processing System for Classifying and/or Tracking an Object
First Claim
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1. A distributed computer system comprising:
- a plurality of sensors operable to receive information about an object and generate records from the received information;
a first computing node coupled to the plurality of sensors and operable to;
receive a first plurality of records from the plurality of sensors; and
bind the first plurality of records in a plurality of classifications using a Bayesian reasoning classifier, each of the plurality of classifications having a differing level of specificity;
a second computing node coupled to the plurality of sensors and the first computing node, the second computing node operable to;
receive a second plurality of records at a specified period of time after the first plurality of records are received;
bind the second plurality of records and the first plurality of records in the plurality of classifications; and
determine, using an information form of a Kalman filter, an estimated trajectory of the object according to the first plurality of records and the second plurality of records.
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Abstract
According to one embodiment, a computing system includes a computing node coupled to a number of sensors. The sensors are operable to generate records from received information and transmit these records to the computing node. The computing node is operable to bind the plurality of records in a plurality of classifications using a multiple level classifier such that each classification has a differing level of specificity.
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Citations
21 Claims
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1. A distributed computer system comprising:
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a plurality of sensors operable to receive information about an object and generate records from the received information; a first computing node coupled to the plurality of sensors and operable to; receive a first plurality of records from the plurality of sensors; and bind the first plurality of records in a plurality of classifications using a Bayesian reasoning classifier, each of the plurality of classifications having a differing level of specificity; a second computing node coupled to the plurality of sensors and the first computing node, the second computing node operable to; receive a second plurality of records at a specified period of time after the first plurality of records are received; bind the second plurality of records and the first plurality of records in the plurality of classifications; and determine, using an information form of a Kalman filter, an estimated trajectory of the object according to the first plurality of records and the second plurality of records.
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2. Code embodied in a computer-readable medium, when executed by a computer operable to perform at least the following:
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receive, using a first computing node, a plurality of records from a plurality of sensors coupled to the first computing node through a network, the plurality of sensors operable to generate a plurality of records from information about an object; and bind the plurality of records in a plurality of classifications using a multiple level classifier, each of the plurality of classifications having a differing level of specificity. - View Dependent Claims (3, 4, 5, 6, 7, 8)
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9. A computer system comprising:
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a plurality of sensors operable to receive information about an object, the plurality of sensors operable to generate a plurality of records from the received information; a first computing node coupled to the plurality of sensors through a network and operable to; receive the plurality of records from the plurality of sensors; and bind the plurality of records in a plurality of classifications using a multiple level classifier, each of the plurality of classifications having a differing level of specificity. - View Dependent Claims (10, 11, 12, 13, 14, 15)
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16. A method comprising:
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receiving, using a first computing node, a plurality of records from a plurality of sensors coupled to the first computing node through a network, the plurality of sensors operable to generate a plurality of records from information about an object; and binding the plurality of records in a plurality of classifications using a multiple level classifier, each of the plurality of classifications having a differing level of specificity. - View Dependent Claims (17, 18, 19, 20, 21)
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Specification