Patent ID: 8761498
Filing Date: 2014-06-24
Classification: G06K

Abstract:
1. A computer-implemented method for generating a classifier for detecting objects in a digital image, the method comprising: (a) providing a training data set of objects in one or more digital images, wherein the objects appear near or in a street or roadway, and wherein the set of objects includes some objects that are labeled as being of a particular type along with objects that are labeled as not being of the particular type; (b) generating a set of feature vectors using the results of an object detector to generate a feature vector for each object in the set of objects, wherein each feature vector includes a detection score; (c) providing, for each object, a description of the road or street in which or near which each object appears, the description including a corresponding road or street width estimate; (d) generating a set of composite feature vectors by combining each generated feature vector with the corresponding road or street description; and (e) generating an object classifier using a machine learning algorithm that takes the set of composite feature vectors as input and returns the object classifier as output.