SYSTEM AND METHOD FOR AUTOMATED OBJECT DETECTION IN AN IMAGE
First Claim
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1. A computer-implemented method, comprising:
- calculating, by a computing system, a co-occurrence probability for two or more edge features in an image or video using an object definition;
differentiating between edge features, by the computing system, in response to a measured contextual support;
extracting, by the computing system, prominent edge features based on the measured contextual support; and
identifying the object, by the computing system, based on the extracted prominent edge features.
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Abstract
A contour/shape detection model may use relatively simple and efficient kernels to detect target edges in an object within an image or video. A co-occurrence probability may be calculated for two or more edge features in an image or video using an object definition. Edge features may be differentiated between in response to measured contextual support, and prominent edge features may be extracted based on the measured contextual support. The object may then be identified based on the extracted prominent edge features.
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Citations
20 Claims
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1. A computer-implemented method, comprising:
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calculating, by a computing system, a co-occurrence probability for two or more edge features in an image or video using an object definition; differentiating between edge features, by the computing system, in response to a measured contextual support; extracting, by the computing system, prominent edge features based on the measured contextual support; and identifying the object, by the computing system, based on the extracted prominent edge features. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A computer program embodied on a non-transitory computer-readable medium, the computer program configured to cause at least one processor to:
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generate a training corpus that is divided into target and distractor images or videos; calculate estimates of n-wise co-occurrence probabilities of oriented edges conditioned on presence or absence of globally salient contours; and generate a kernel in response to each calculated n-wise co-occurrence probability value. - View Dependent Claims (14, 15, 16, 17, 18)
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19. A system, comprising:
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an image provider configured to distribute, provide, present, capture, record, process, and/or transmit one or more images and/or videos for object identification; and an edge detection system configured to capture, identify, detect, and/or extract a portion of an image or video from a larger image or video provided by the image provider based on contour and shape. - View Dependent Claims (20)
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Specification