Complex-object detection using a cascade of classifiers
AssigneeGM Global Technology Operations LLC
InventorsDan LEVI, Aharon Bar Hillel
Life of this patent
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Abstract
Complex-object detection using a cascade of classifiers for identifying complex-objects parts in an image in which successive classifiers process pixel patches on condition that respective discriminatory features sets of previous classifiers have been identified and selecting additional pixel patches from a query image by on the basis of probability data.
Claims17
A method for identifying a complex-object in a query image, the method comprising:
- performing computer-enabled steps of:
- processing at least one pixel patch from the query image with a cascade of classifiers, each classifier of the cascade configured to identify at least one discriminative feature characteristic of a part of the complex-object, wherein each successive classifier of the cascade identifies a number of discriminative features greater than a number of discriminative features identified by prior classifiers of the cascade;
- and
- selecting an additional pixel patch from the query image for processing after a last classifier of the cascade has identified the part of the complex-object, the selecting based on a probability data.
A system for identifying a complex-object in a query image, the system comprising:
- a processor configured to:
- process at least one pixel patch from the query image with a cascade of classifiers, each of the classifiers of the cascade configured to identify at least one discriminative feature characteristic of a part of the complex-object, wherein each successive classifier of the cascade uses a number of discriminative features greater than a number of the discriminative features used in prior classifiers of the cascade;
- and
- select an additional pixel patch from the query image for processing after a last classifier of the cascade has identified the part of the complex-object, the selecting based on a probability data.
A non-transitory computer-readable medium having stored thereon instructions for identifying a complex-object in a query image, which when executed by a processor cause the processor to perform the instructions comprising of:
- processing at least one pixel patch from the query image with a cascade of classifiers, each successive classifier of the cascade configured to identify at least one discriminative feature in the pixel patch that characterizes a part of the complex-object;
- wherein each successive classifier of the cascade uses a number of discriminative features greater than a number of the discriminative features used in prior classifiers of the cascade;
- and
- selecting an additional pixel patch from the query image for processing after a last classifier of the cascade has identified the part of the complex-object, the selecting the selecting based on a probability data.
Dependencies are inferred from the claim text.