Image analysis – Learning systems – Trainable classifiers or pattern recognizers
Reexamination Certificate
2004-11-22
2009-08-11
Mariam, Daniel G (Department: 2624)
Image analysis
Learning systems
Trainable classifiers or pattern recognizers
C382S103000, C382S118000
Reexamination Certificate
active
07574037
ABSTRACT:
An object detecting device for detecting an object in a given gradation image. A scaling section generates scaled images by scaling down a gradation image input from an image output section. A scanning section sequentially manipulates the scaled images and cutting out window images from them and a discriminator judges if each window image is an object or not. The discriminator includes a plurality of weak discriminators that are learned in a group by boosting and an adder for making a weighted majority decision from the outputs of the weak discriminators. Each of the weak discriminators outputs an estimate of the likelihood of a window image to be an object or not by using the difference of the luminance values between two pixels. The discriminator suspends the operation of computing estimates for a window image that is judged to be a non-object, using a threshold value that is learned in advance.
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Hidai Ken-ichi
Kawamoto Kenta
Sabe Kohtaro
Frommer William S.
Frommer & Lawrence & Haug LLP
Mariam Daniel G
Presson Thomas F.
Sony Corporation
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