Method for vehicle classification
First Claim
1. A method for vehicle classification comprising:
- obtaining an image stored in digital format on computer-readable medium;
identifying the presence of a target vehicle in the image;
categorizing the target vehicle as belonging to a broad vehicle category selected from a predetermined set of broad vehicle types stored in a database;
creating a shortlist of vehicle makes and models in the broad vehicle category, wherein the shortlist contains makes and models that match one or more spatial vehicle characteristics of the target vehicle;
performing a computational wireframe matching between the target vehicle and wireframe models of the vehicle makes and models in the shortlist to produce a set of selected vehicle makes and models;
performing additional tests to narrow the set of selected vehicle makes and models to produce a final matching set of vehicle makes and models.
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Abstract
A technique for vehicle classification and identification from images successively narrows the classification of a vehicle down to vehicle make, model, and other specific characteristics. This process uses location, size, color, shape, and other image characteristics that help differentiate vehicles from other kinds of objects in an image. A broad categorization of the target vehicle is performed by classifying the vehicle according to a predetermined set of general vehicle types. A short list is then created of potential matching vehicle makes and models within the broad category that have the best chance of matching the target vehicle. Specific visible points on the target vehicle are identified and then a wire-frame matching with pre-recorded wire-frame models of the short listed vehicles is performed to produce a set of selected vehicle makes and models.
119 Citations
12 Claims
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1. A method for vehicle classification comprising:
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obtaining an image stored in digital format on computer-readable medium;
identifying the presence of a target vehicle in the image;
categorizing the target vehicle as belonging to a broad vehicle category selected from a predetermined set of broad vehicle types stored in a database;
creating a shortlist of vehicle makes and models in the broad vehicle category, wherein the shortlist contains makes and models that match one or more spatial vehicle characteristics of the target vehicle;
performing a computational wireframe matching between the target vehicle and wireframe models of the vehicle makes and models in the shortlist to produce a set of selected vehicle makes and models;
performing additional tests to narrow the set of selected vehicle makes and models to produce a final matching set of vehicle makes and models. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 12)
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11. wherein matching the identified points to corresponding points in the wireframe models comprises computationally rotating the wireframe models to various angles and comparing spatial distances between the identified points to spatial distances between the corresponding points in a projection of the rotated wireframe model.
Specification