Patent Document ID: 10062008
Application ID: 14897916
Patent Flag: 1

Claim One:
1. A method for classifying an object in image data to one out of a set of classes using a classifier, said image data comprising an image of the object, the method comprising: extracting a feature vector from said image data; separating template image data into learning image data and into test image data, and extracting feature vectors from the learning image data and from the test image data; obtaining a classifier based on the feature vectors extracted from the learning image data; using the obtained classifier to estimate probabilities for the extracted feature vector to belong to each class of the set of classes; evaluating the estimated probabilities for determining whether the object does not belong to any one of the set of classes, wherein it is determined that the object does not belong to any one of the set of classes if all estimated probabilities lie below a threshold probability, wherein the threshold probability is obtained from testing the classifier with the feature vectors extracted from the test image data, including calculating diagonal entries of a corresponding confusion matrix, and selecting a smallest of the calculated diagonal entries as the threshold probability.