Method and apparatus for calibrating sampling operations for an object detection process
First Claim
1. A method for detecting an object in an image, comprising:
- determining a relationship between sampling parameters and a detection rate for an object detection process;
determining a relationship between the sampling parameters and a detection speed for the object detection process;
wherein the sampling parameters include;
a sampling function, which determines locations within the image to sample; and
a refinement threshold, wherein if a response obtained while sampling a given location exceeds the refinement threshold, a localized search for the object is performed in the vicinity of the given location;
using the determined relationships to generate specific sampling parameters; and
performing the object detection process, wherein the object detection process uses the sampling parameters to sample locations in the image, wherein a sampling process is used to refine the search for the object by identifying locations that respond to an object detector and are hence likely to be proximate to an instance of the object.
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Accused Products
Abstract
One embodiment of the present invention provides a system that detects an object in an image. During operation, the system determines a relationship between sampling parameters and a detection rate for an object detection process. The system also determines a relationship between the sampling parameters and a detection speed for the object detection process. The system uses the determined relationships to generate specific sampling parameters. Next, the system performs the object detection process, wherein the object detection process uses the sampling parameters to sample locations in the image. This sampling process is used to refine the search for the object by identifying locations that respond to an object detector and are hence likely to be proximate to an instance of the object.
16 Citations
21 Claims
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1. A method for detecting an object in an image, comprising:
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determining a relationship between sampling parameters and a detection rate for an object detection process; determining a relationship between the sampling parameters and a detection speed for the object detection process; wherein the sampling parameters include; a sampling function, which determines locations within the image to sample; and a refinement threshold, wherein if a response obtained while sampling a given location exceeds the refinement threshold, a localized search for the object is performed in the vicinity of the given location; using the determined relationships to generate specific sampling parameters; and performing the object detection process, wherein the object detection process uses the sampling parameters to sample locations in the image, wherein a sampling process is used to refine the search for the object by identifying locations that respond to an object detector and are hence likely to be proximate to an instance of the object. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method for detecting an object in an image, the method comprising:
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determining a relationship between sampling parameters and a detection rate for an object detection process; determining a relationship between the sampling parameters and a detection speed for the object detection process; wherein the sampling parameters include; a sampling function which determines locations within the image to sample; and a refinement threshold wherein if a response obtained while sampling a given location exceeds the refinement threshold a localized search for the object is performed in the vicinity of the given location; using the determined relationships to generate specific sampling parameters; and performing the object detection process, wherein the object detection process uses the sampling parameters to sample locations in the image, wherein a sampling process is used to refine the search for the object by identifying locations that respond to an object detector and are hence likely to be proximate to an instance of the object. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. An apparatus that detects an object in an image, comprising:
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a determination mechanism configured to, determine a relationship between sampling parameters and a detection rate for an object detection process, and to determine a relationship between the sampling parameters and a detection speed for the object detection process; wherein the sampling parameters include; a sampling function, which determines locations within the image to sample; and a refinement threshold, wherein if a response obtained while sampling a given location exceeds the refinement threshold, the object detection mechanism is configured to perform a localized search for the object in the vicinity of the given location; a parameter generation mechanism configured to use the determined relationships to generate specific sampling parameters; and an object detection mechanism configured to perform the object detection process, wherein the object detection process uses the sampling parameters to sample locations in the image, wherein a sampling process is used to refine the search for the object by identifying locations that respond to an object detector and are hence likely to be proximate to an instance of the object. - View Dependent Claims (16, 17, 18, 19, 20, 21)
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Specification