Patent ID: 9443168
Filing Date: 2016-09-13
CPC Classification: G06K

Claim Text:
1. A method comprising; receiving an ensemble classifier previously trained upon a binary dataset of images for an object, wherein the ensemble classifier is defined by a list, W, of N weak classifiers, w training the ensemble classifier to be a detector for the object using a training dataset of images, wherein each image in the training dataset has a set of candidates that includes at least one known ground truth candidate, wherein said training comprises: reordering the weak classifiers defining the ensemble classifier into a new list, W′, according to the rank associated with each corresponding weak classifier; performing a cascading algorithm using the trained detector to detect the object in an image having a known set of object candidates, said performance further comprising: removing object candidates having a cumulative score ranking below the rejection threshold from the set of object candidates, wherein a size of the set of object candidates decreases with each stage.