Method for Recognizing Traffic Signs
First Claim
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1. A method for recognizing a particular traffic sign of a set of traffic signs in a sequence of images acquired of a vehicle environment by a camera mounted in a moving vehicle, comprising a processor for performing steps of the method, comprising the steps of:
- determining, in each image, a probability density map using a parameter space transform;
detecting, in each image, a region of interest (ROI) using a kernel density estimator on the probability density map;
tracking, in each next image after the ROI is detected, the ROI using an instant-specific regression function; and
recognizing the ROI as contain the particular traffic sign of the set of traffic signs using multiple one-versus-all (OVA) classifiers, wherein each classifier only uses a same class and a different class, and a final decision is taken using a winner-takes-all strategy that associates a real-valued score with each class, and the final decision recognizes the particular traffic sign.
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Abstract
A method recognizes a set of traffic signs in a sequence of images acquired of a vehicle environment by a camera mounted in a moving vehicle by detecting in each image, a region of interest (ROI) using a parameter space transform. The ROI is tracked and classified as a particular one of the signs. The classifier only uses a same class and a different class, and a regression function to update the classifier.
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Citations
11 Claims
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1. A method for recognizing a particular traffic sign of a set of traffic signs in a sequence of images acquired of a vehicle environment by a camera mounted in a moving vehicle, comprising a processor for performing steps of the method, comprising the steps of:
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determining, in each image, a probability density map using a parameter space transform; detecting, in each image, a region of interest (ROI) using a kernel density estimator on the probability density map; tracking, in each next image after the ROI is detected, the ROI using an instant-specific regression function; and recognizing the ROI as contain the particular traffic sign of the set of traffic signs using multiple one-versus-all (OVA) classifiers, wherein each classifier only uses a same class and a different class, and a final decision is taken using a winner-takes-all strategy that associates a real-valued score with each class, and the final decision recognizes the particular traffic sign. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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Specification