Collecting information relating to identity parameters of a vehicle
First Claim
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1. A method comprising:
- detecting one or more interest points within at least one image of a vehicle;
determining one or more descriptors that correspond to at least one of the one or more interest points;
based on a failure of a license plate recognition process, selecting one or more templates, each of the one or more templates comprising one or more descriptors determined in relation to one or more previously obtained images;
matching, by a processor, at least one of the one or more of the descriptors that correspond to the at least one of the one or more interest points to the one or more templates;
calculating a confidence measure of a match between (a) the at least one of the one or more of the descriptors that correspond to the at least one of the one or more interest points and (b) at least one of the one or more of the templates; and
identifying one or more identity parameters of the vehicle based on the confidence measure.
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Abstract
The present invention discloses methods and systems for collecting information relating to identity parameters of a vehicle. According to the invention an image of the vehicle is obtained. A sub-image within the image is identified, interest points within the sub-image are detected and the sub-image is processed so as to obtain descriptors representing the interest points. The descriptors are matched to predetermined descriptors representing interest points in previously obtained images respective of known identity parameters and the information is stored in a record representing an identity of the vehicle.
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Citations
21 Claims
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1. A method comprising:
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detecting one or more interest points within at least one image of a vehicle; determining one or more descriptors that correspond to at least one of the one or more interest points; based on a failure of a license plate recognition process, selecting one or more templates, each of the one or more templates comprising one or more descriptors determined in relation to one or more previously obtained images; matching, by a processor, at least one of the one or more of the descriptors that correspond to the at least one of the one or more interest points to the one or more templates; calculating a confidence measure of a match between (a) the at least one of the one or more of the descriptors that correspond to the at least one of the one or more interest points and (b) at least one of the one or more of the templates; and identifying one or more identity parameters of the vehicle based on the confidence measure. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A system comprising:
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a memory; and a processor, operatively coupled to the memory, to; detect one or more interest points within at least one image of a vehicle; determine one or more descriptors that correspond to at least one of the one or more interest points; based on a failure of a vehicle icon recognition process, select one or more templates; match at least one of the one or more of the descriptors to the one or more templates; calculate a confidence measure of a match between (a) the at least one of the one or more of the descriptors and (b) at least one of the one or more of the templates; and identify one or more identity parameters of the vehicle based on the confidence measure. - View Dependent Claims (18, 19)
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20. A non-transitory storage medium encoded with instructions that, when executed by a processor, cause the processor to:
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detect one or more interest points within at least one image of a vehicle; determine one or more descriptors that correspond to at least one of the one or more interest points; based on a failure of a license plate recognition process, select one or more templates; match by the processor, at least one of the one or more of the descriptors to the one or more templates; calculate a confidence measure of a match between (a) the at least one of the one or more of the descriptors and (b) at least one of the one or more of the templates; and identify one or more identity parameters of the vehicle based on the confidence measure. - View Dependent Claims (21)
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Specification