Patent ID: 7715591
Filing Date: 2010-05-11
Classification: G06K,G06T,H04N

Abstract:
1. A computer implemented method of object detection comprising an act of causing a processor to perform operations of: receiving images of an area occupied by at least one object; extracting image features including wavelet features from the images; classifying the image features to produce object class confidence data, wherein the classifying operation is performed by at least two sub-classifiers; and performing data fusion on the object class confidence data to produce a detected object estimate, wherein the operation of performing data fusion comprises the operations of: wherein the operation of classifying image features comprises processing the image features with at least one classification algorithm; and wherein at least one of the classification algorithms is selected from the group consisting of a trained C5 decision tree, a trained Nonlinear Discriminant Analysis network, and a trained Fuzzy Aggregation Network.