Object detection
First Claim
1. A method of detecting objects using multiple sets of object probability data relating to different respective expected object sizes relative to the image size, said method comprising:
- storing a list of locations in an image where an object has been detected, said list defining a probability data set and a probability value for each detected object;
detecting object locations in a set of object probability data as locations at which a local maximum probability value exceeds a threshold probability value and, if that location is substantially similar to a location previously stored in said list, where the local maximum probability value exceeds that relating to the previously stored location; and
repeating step the storing successively in respect of each set of probability data.
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Accused Products
Abstract
A system and associated methodology of detecting objects using multiple sets of object probability data relating to different respective expected object sizes relative to the image size. A list of locations in an image where an object has been detected is stored, the list defining a probability data set and a probability value for each detected object. Object locations in a set of object probability data as locations at which a local maximum probability value exceeds a threshold probability value are detected and, if that location is substantially similar to a location previously stored in the list, where the local maximum probability value exceeds that relating to the previously stored location. The storing is repeated successively in respect of each set of probability data.
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Citations
20 Claims
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1. A method of detecting objects using multiple sets of object probability data relating to different respective expected object sizes relative to the image size, said method comprising:
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storing a list of locations in an image where an object has been detected, said list defining a probability data set and a probability value for each detected object; detecting object locations in a set of object probability data as locations at which a local maximum probability value exceeds a threshold probability value and, if that location is substantially similar to a location previously stored in said list, where the local maximum probability value exceeds that relating to the previously stored location; and repeating step the storing successively in respect of each set of probability data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. An object detection apparatus for detecting objects using multiple sets of object probability data relating to different respective expected object sizes relative to the image size, said apparatus comprising:
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a storage configured to store a list of locations in an image where an object has been detected, said list defining a probability data set and a probability value for each detected object; and logic, operable successively in respect of each set of probability data, to detect object locations in a set of object probability data as locations at which a local maximum probability value exceeds a threshold probability value and, if that location is substantially similar to a location previously stored in said list, where said local maximum probability value exceeds that relating to the previously stored location. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20)
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Specification