Methods, systems and apparatuses of feature extraction and object detection

Abstract

Methods, systems and apparatuses of feature extraction and object detection are provided. In the method of feature extraction, a plurality of image channels are generated from each of training images; intra-channel features are extracted from the plurality of image channels for each of training images, wherein the intra-channel features include features independently extracted from a single image channel; cross-channel features are extracted from the plurality of image channels for at least one of the training images, wherein the cross-channel features include features extracted from at least two image channels. The intra-channel features and the cross-channel features form a set of features for feature selection and classifier training. With the above method, cross-channel features, which reflect discriminant information across different image channels, can be further used for object detection together with the intra-channel features, and thus there are much richer features for object detection and better accuracy of object detection can be achieved.

Dependencies are inferred from the claim text.