Short-time stopping detection from red light camera evidentiary photos
First Claim
1. A method to detect a vehicle running a stop signal, the method comprising:
- acquiring at least two evidentiary images of a candidate violating vehicle captured from at least one camera monitoring an intersection, the at least two evidentiary images including a first image of an intersection before a stop line and a second image of an area located within or after the intersection;
extracting feature points in each of the at least two evidentiary images;
computing feature descriptors for each of the extracted feature points;
determining a correspondence between feature points having matching feature descriptors at different locations in the at least two evidentiary images;
extracting at least one attribute for each correspondence by determining if the each correspondence belongs to one of a spurious match and a true match;
for each correspondence belonging to a true match, comparing the attribute to a threshold; and
, classifying the candidate violating vehicle as belonging;
to one of a violating vehicle running the stop signal and a non-violating vehicle based on the comparing.
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Abstract
A method for detecting a vehicle running a stop signal includes acquiring at least two evidentiary images of a candidate violating vehicle captured from at least one camera monitoring an intersection. The method includes extracting feature points in each of the at least two evidentiary images. The method includes computing feature descriptors for each of the extracted feature points. The method includes determining a correspondence between feature points having matching feature descriptors at different locations in the at least two evidentiary images. The method includes extracting at least one attribute for each correspondence. The method includes determining if the candidate violating vehicle is in violation of running the stop signal using the extracted attribute.
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Citations
20 Claims
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1. A method to detect a vehicle running a stop signal, the method comprising:
- acquiring at least two evidentiary images of a candidate violating vehicle captured from at least one camera monitoring an intersection, the at least two evidentiary images including a first image of an intersection before a stop line and a second image of an area located within or after the intersection;
extracting feature points in each of the at least two evidentiary images;
computing feature descriptors for each of the extracted feature points;
determining a correspondence between feature points having matching feature descriptors at different locations in the at least two evidentiary images;
extracting at least one attribute for each correspondence by determining if the each correspondence belongs to one of a spurious match and a true match;
for each correspondence belonging to a true match, comparing the attribute to a threshold; and
, classifying the candidate violating vehicle as belonging;
to one of a violating vehicle running the stop signal and a non-violating vehicle based on the comparing. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
- acquiring at least two evidentiary images of a candidate violating vehicle captured from at least one camera monitoring an intersection, the at least two evidentiary images including a first image of an intersection before a stop line and a second image of an area located within or after the intersection;
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11. A system for detecting a vehicle running a stop signal, the system comprising a traffic regulation enforcement device including a memory and a processor in communication with the processor configured to:
- acquire at least two evidentiary images of a candidate violating vehicle captured from at least one camera monitoring an intersection, the at least two evidentiary images including a first image of an intersection before a stop line and a second image of an area located within or after the intersection;
extract feature points in each of the at least two evidentiary images;
compute feature descriptors for each of the extracted feature points;
determine a correspondence between feature points having matching feature descriptors at different locations in the at least two evidentiary images;
extract at least one attribute for each correspondence by determining if the each correspondence belongs to one of a spurious match and a true match;
for each correspondence belonging to a true match, comparing the attribute to a threshold; and
, classifying the candidate violating vehicle as belonging to one of a violating vehicle running the stop signal and a non-violating vehicle based on the comparing. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
- acquire at least two evidentiary images of a candidate violating vehicle captured from at least one camera monitoring an intersection, the at least two evidentiary images including a first image of an intersection before a stop line and a second image of an area located within or after the intersection;
Specification