Detecting and tracking objects in images
First Claim
1. A method comprising:
- determining coordinates for an image point in a multi-dimensional space, the image point characterizing a particular object;
providing an equation describing a model in the multi-dimensional space, the model being characteristic of a set of training images of one or more other objects;
applying the coordinates to the equation to determine a distance between the image point and the model; and
determining whether the particular object matches the one or more other objects based on the determined distance.
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Abstract
According to one disclosed method, coordinates in a multi-dimensional space are determined for an image point characterizing a particular object. An equation describing a model in the multi-dimensional space is provided. The model is characteristic of a set of training images of one or more other objects. The coordinates are applied to the equation to determine a distance between the image point and the model. Based on the determined distance, a determination is made as to whether the particular object matches the one or more other objects. A set of training images may be received. A multi-dimensional space (e.g., eigenspace) may be determined based on the set of training images. A set of training points may be generated by projecting the set of training images into the multi-dimensional space. An equation describing a model in the multi-dimensional space that is characteristic of the set of training points may be determined.
74 Citations
24 Claims
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1. A method comprising:
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determining coordinates for an image point in a multi-dimensional space, the image point characterizing a particular object;
providing an equation describing a model in the multi-dimensional space, the model being characteristic of a set of training images of one or more other objects;
applying the coordinates to the equation to determine a distance between the image point and the model; and
determining whether the particular object matches the one or more other objects based on the determined distance. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A method comprising:
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receiving an image of a particular object, the image having a number of data points;
projecting the image into a multi-dimensional space having a dimensionality that is lower than the number of data points to produce coordinates for an image point in the multi-dimensional space, the image point characterizing the particular object;
providing an equation describing a model in the multi-dimensional space, the model being a model for a set of training points in the multi-dimensional space, each of the training points in the set corresponding to one or more images in a training set of images of one or more other objects;
applying the coordinates to the equation to determine a distance between the image point and the model; and
determining whether the particular object matches the other objects based on the determined distance. - View Dependent Claims (14)
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15. A system comprising:
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a camera; and
a processing device coupled to the camera and configured to;
determine coordinates for an image point in a multi-dimensional space, the image point characterizing a particular object;
provide an equation describing a model in the multi-dimensional space, the model being characteristic of a set of training images of one or more other objects;
apply the coordinates to the equation to determine a distance between the image point and the model; and
determine whether the particular object matches the one or more other objects based on the determined distance. - View Dependent Claims (16, 17, 18, 19)
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20. A method comprising:
providing a tool for determining coordinates for a particular image point in a multi-dimensional space, the particular image point characterizing a particular object;
providing an equation describing a model in the multi-dimensional space, the model being characteristic of a set of training images of one or more other objects;
applying the coordinates to the equation to determine a distance between the particular image point and the model; and
determining whether the particular object matches the one or more other objects based on the determined distance. - View Dependent Claims (21, 22, 23, 24)
Specification