Object detection and classification
First Claim
1. A system of object detection across disparate fields of view, comprising:
- a data processing system having an object detection component, an object classification component, an object forecast component, and an object matching component, the data processing system obtains a first image generated by a first recording device, the first recording device having a first field of view;
the object detection component of the data processing system detects, from the first image, a first object present within the first field of view;
the object classification component of the data processing system determines a first level classification category of the first object and determines a second level classification category of the first object;
the data processing system generates a descriptor of the first object based on at least one of the first level classification category of the first object and the second level classification category of the first object;
the data processing system obtains a second image generated by a second recording device, the second recording device having a second field of view different than the first field of view;
the object detection component of the data processing system detects, from the second image, a second object present within the second field of view;
the data processing system generates a descriptor of the second object based on at least one of a first level classification category of the second object and a second level classification category of the second object;
the object matching component of the data processing system identifies a correlation of the first object with the second object based on the descriptor of the first object and the descriptor of the second object; and
the object forecast component of the data processing system determines a characteristic of at least one of the first object and the second object based at least in part on the correlation of the first object with the second object.
1 Assignment
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Accused Products
Abstract
Object detection and across disparate fields of view are provided. A first image generated by a first recording device with a first field of view, and a second image generated by a second recording device with a second field of view can be obtained. An object detection component can detect a first object within the first field of view, and a second object within the second field of view. An object classification component can determine first and second level classification categories of the first object. Object components can correlate the first object with the second object based on the descriptor of the first object or a descriptor of the second object, and can determine a characteristic or the first object or the second object based on the correlation.
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Citations
20 Claims
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1. A system of object detection across disparate fields of view, comprising:
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a data processing system having an object detection component, an object classification component, an object forecast component, and an object matching component, the data processing system obtains a first image generated by a first recording device, the first recording device having a first field of view; the object detection component of the data processing system detects, from the first image, a first object present within the first field of view; the object classification component of the data processing system determines a first level classification category of the first object and determines a second level classification category of the first object; the data processing system generates a descriptor of the first object based on at least one of the first level classification category of the first object and the second level classification category of the first object; the data processing system obtains a second image generated by a second recording device, the second recording device having a second field of view different than the first field of view; the object detection component of the data processing system detects, from the second image, a second object present within the second field of view; the data processing system generates a descriptor of the second object based on at least one of a first level classification category of the second object and a second level classification category of the second object; the object matching component of the data processing system identifies a correlation of the first object with the second object based on the descriptor of the first object and the descriptor of the second object; and the object forecast component of the data processing system determines a characteristic of at least one of the first object and the second object based at least in part on the correlation of the first object with the second object. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. A method of digital image object analysis across disparate fields of view, comprising:
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obtaining, by a data processing system having at least one of an object detection component, an object classification component, an object forecast component, and an object matching component, a first image generated by a first recording device, the first recording device having a first field of view; detecting, by the object detection component of the data processing system, from the first image, a first object present within the first field of view; determining, by the object classification component of the data processing system, a first level classification category of the first object and a second level classification category of the first object; generating, by the data processing system, a descriptor of the first object based on at least one of the first level classification category of the first object and the second level classification category of the first object; obtaining, by the data processing system, a second image generated by a second recording device, the second recording device having a second field of view different than the first field of view; detecting, by the object detection component of the data processing system, from the second image, a second object present within the second field of view; generating, by the data processing system, a descriptor of the second object based on at least one of a first level classification category of the second object and a second level classification category of the second object; identifying, by the object matching component of the data processing system, a correlation between the first object and the second object based on the descriptor of the first object and the descriptor of the second object; and determining, by the object forecast component of the data processing system, a characteristic of at least one of the first object and the second object based on the correlation between the first object and the second object. - View Dependent Claims (20)
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Specification