Method for traffic sign detection
First Claim
1. A method for detecting and recognizing at least one traffic sign, the method comprising the steps of:
- a. receiving a video sequence comprised of a plurality of image frames;
b. using one or more filters to measure features in at least one image frame indicative of an object of interest;
c. aggregating and combining features into a score indicating possible presence of an object;
d. fusing the scores over multiple image frames for a robust detection;
e. if a score indicates possible presence of an object in an area of the image frame, aligning the area with a model;
f. determining if the area indicates a traffic sign; and
g. if so, classifying the area into a particular type of traffic sign.
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Abstract
A method for detecting and recognizing at least one traffic sign is disclosed. A video sequence having a plurality of image frames is received. One or more filters are used to measure features in at least one image frame indicative of an object of interest. The measured features are combined and aggregated into a score indicating possible presence of an object. The scores are fused over multiple image frames for a robust detection. If a score indicates possible presence of an object in an area of the image frame, the area is aligned with a model. A determination is then made as to whether the area indicates a traffic sign. If the area indicates a traffic sign, the area is classified into a particular type of traffic sign. The present invention is also directed to training a system to detect and recognize traffic signs.
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Citations
28 Claims
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1. A method for detecting and recognizing at least one traffic sign, the method comprising the steps of:
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a. receiving a video sequence comprised of a plurality of image frames; b. using one or more filters to measure features in at least one image frame indicative of an object of interest; c. aggregating and combining features into a score indicating possible presence of an object; d. fusing the scores over multiple image frames for a robust detection; e. if a score indicates possible presence of an object in an area of the image frame, aligning the area with a model; f. determining if the area indicates a traffic sign; and g. if so, classifying the area into a particular type of traffic sign. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28)
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Specification