APPARATUS, SYSTEM, AND METHOD FOR OBJECT DETECTION AND IDENTIFICATION
First Claim
1. An apparatus to identify a target object, the apparatus comprising:
- an object detection module that detects a plurality of objects by matching data from one or more sensors to known data of a target object, the object detection module determining one or more correlation metrics for each object;
an object tracking module that tracks geographic locations for at least a subset of the plurality of objects over time using subsequent data from the one or more sensors;
a contextual data module that determines one or more contextual indicators for at least a subset of the plurality of objects based on the data from the one or more sensors; and
an artificial intelligence module that estimates probabilities that each of at least a subset of the plurality of objects comprises the target object based on the correlation metrics, the geographic locations, the contextual indicators, and one or more target contextual indicators associated with the target object, the artificial intelligence module estimating the probabilities using an artificial intelligence model.
1 Assignment
0 Petitions
Accused Products
Abstract
An apparatus, system, and method are disclosed for identifying a target object. An object detection module detects objects by matching data from one or more sensors to known data of a target object and determining one or more correlation metrics for each object. An object tracking module tracks geographic locations for detected objects over time using subsequent data from the one or more sensors. A contextual data module determines one or more contextual indicators for detected objects based on the data from the one or more sensors. An artificial intelligence module estimates probabilities that detected objects comprise the target object based on the correlation metrics, the geographic locations, the contextual indicators, and one or more target contextual indicators associated with the target object. The artificial intelligence module estimates the probabilities using an artificial intelligence model, such as a Bayesian network.
110 Citations
43 Claims
-
1. An apparatus to identify a target object, the apparatus comprising:
-
an object detection module that detects a plurality of objects by matching data from one or more sensors to known data of a target object, the object detection module determining one or more correlation metrics for each object; an object tracking module that tracks geographic locations for at least a subset of the plurality of objects over time using subsequent data from the one or more sensors; a contextual data module that determines one or more contextual indicators for at least a subset of the plurality of objects based on the data from the one or more sensors; and an artificial intelligence module that estimates probabilities that each of at least a subset of the plurality of objects comprises the target object based on the correlation metrics, the geographic locations, the contextual indicators, and one or more target contextual indicators associated with the target object, the artificial intelligence module estimating the probabilities using an artificial intelligence model. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26)
-
-
27. A system to identify a target object, the system comprising:
-
one or more sensors; an object detection module that detects a plurality of objects by matching data from the one or more sensors to known data of a target object, the object detection module determining one or more correlation metrics for each object; an object tracking module that tracks geographic locations for at least a subset of the plurality of objects over time using subsequent data from the one or more sensors; a contextual data module that determines one or more contextual indicators for at least a subset of the plurality of objects based on the data from the one or more sensors; and an artificial intelligence module that estimates probabilities that each of at least a subset of the plurality of objects comprises the target object based on the correlation metrics, the geographic locations, the contextual indicators, and one or more target contextual indicators associated with the target object, the artificial intelligence module estimating the probabilities using an artificial intelligence model. - View Dependent Claims (28, 29, 30, 31)
-
-
32. A method for identifying a target object, the method comprising:
-
detecting a plurality of objects by matching data from one or more sensors to known data of a target object and determining one or more correlation metrics for each object; tracking geographic locations for at least a subset of the plurality of objects over time using subsequent data from the one or more sensors; determining one or more contextual indicators for at least a subset of the plurality of objects based on the data from the one or more sensors; and estimating, using an artificial intelligence model, probabilities that each of at least a subset of the plurality of objects comprises the target object based on the correlation metrics, the geographic locations, the contextual indicators, and one or more target contextual indicators associated with the target object. - View Dependent Claims (33, 34, 35, 36, 37, 38, 39)
-
-
40. A computer program product comprising a computer readable medium having computer usable program code executable to perform operations for identifying a target object, the operations of the computer program product comprising:
-
detecting a plurality of objects by matching data from one or more sensors to known data of a target object and determining one or more correlation metrics for each object; tracking geographic locations for at least a subset of the plurality of objects over time using subsequent data from the one or more sensors; determining one or more contextual indicators for at least a subset of the plurality of objects based on the data from the one or more sensors; and estimating, using an artificial intelligence model, probabilities that each of at least a subset of the plurality of objects comprises the target object based on the correlation metrics, the geographic locations, the contextual indicators, and one or more target contextual indicators associated with the target object. - View Dependent Claims (41, 42, 43)
-
Specification