Device and method for detecting object and device and method for group learning

摘要

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.

主权项

id="REI-00002" date="20150630" 1. An object detecting device for detecting if a given grayscale image is an object, the device comprising:
a plurality of weak discriminating means for computing an estimate indicating that the grayscale image is an object or not according to a characteristic quantity that is equal to the difference of the luminance values of two pixels at two different positions; and a discriminating means for judging if the grayscale image is an object according to the estimate computed by one of or the estimates computed by more than one of the plurality of weak discriminating means.