DETECTION OF OBJECTS IN IMAGES USING REGION-BASED CONVOLUTIONAL NEURAL NETWORKS
First Claim
Patent Images
1. A method comprising:
- receiving a transformed image, the transformed image comprising an other-than-visible light image that has been captured using a transformation device;
isolating a region of the transformed image, the region being less than an entirety of the transformed image;
detecting, by applying to the region a convolutional Neural Network (CNN) which executes using a processor and a memory, and by processing only the region of the transformed image, an object of interest in the region; and
outputting, responsive to the detecting, an indication of a presence of the object of interest in the region.
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Abstract
A transformed image is received. The transformed image includes an other-than-visible light image that has been captured using a transformation device. A region of the transformed image is isolated, the region being less than an entirety of the transformed image. By applying to the region a convolutional Neural Network (CNN) which executes using a processor and a memory, and by processing only the region of the transformed image, an object of interest is detected in the region. Upon detecting, an indication is produced to indicate the presence of the object of interest in the region.
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Citations
20 Claims
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1. A method comprising:
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receiving a transformed image, the transformed image comprising an other-than-visible light image that has been captured using a transformation device; isolating a region of the transformed image, the region being less than an entirety of the transformed image; detecting, by applying to the region a convolutional Neural Network (CNN) which executes using a processor and a memory, and by processing only the region of the transformed image, an object of interest in the region; and outputting, responsive to the detecting, an indication of a presence of the object of interest in the region. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A computer usable program product comprising one or more computer-readable storage devices, and program instructions stored on at least one of the one or more storage devices, the stored program instructions comprising:
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program instructions to receive a transformed image, the transformed image comprising an other-than-visible light image that has been captured using a transformation device; program instructions to isolate a region of the transformed image, the region being less than an entirety of the transformed image; program instructions to detect, by applying to the region a convolutional Neural Network (CNN) which executes using a processor and a memory, and by processing only the region of the transformed image, an object of interest in the region; and program instructions to output, responsive to the detecting, an indication of a presence of the object of interest in the region. - View Dependent Claims (16, 17, 18, 19)
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20. A computer system comprising one or more processors, one or more computer-readable memories, and one or more computer-readable storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, the stored program instructions comprising:
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program instructions to receive a transformed image, the transformed image comprising an other-than-visible light image that has been captured using a transformation device; program instructions to isolate a region of the transformed image, the region being less than an entirety of the transformed image; program instructions to detect, by applying to the region a convolutional Neural Network (CNN) which executes using a processor and a memory, and by processing only the region of the transformed image, an object of interest in the region; and program instructions to output, responsive to the detecting, an indication of a presence of the object of interest in the region.
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Specification