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US 7,734,097 B1Granted
Detecting objects in images with covariance matrices
AssigneeMitsubishi Electric Research Laboratories, Inc.
InventorsFaith M. Porikli, Tekin Kocak
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Abstract
A method detects objects in an image. First, features are extracted from the image. A frequency transform is applied to the features to generate transformed features. A covariance matrix is constructed from the transformed features, and the covariance matrix is classified to determine whether the image includes the object, or not.
Claims10
A method for detecting objects in an image, wherein the method, comprising the steps of:
- extracting features from an image;
- applying a frequency transform to the features to generate transformed features;
- constructing a covariance matrix from the transformed features;
- classifying the covariance matrix to determine whether the image includes the object, wherein the classifying is performed using a neural network trained with training images stored in a database in a one time preprocessing step;
- and
- outputting a likelihood that the image includes the object, wherein the extracting, applying, constructing, classifying and outputting steps are performed in a processor.
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