Warning device for judging whether occupant is visually distracted
US-9221386-B2 · Dec 29, 2015 · US
US9298995B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9298995-B2 |
| Application number | US-201114232161-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 11, 2011 |
| Priority date | Jul 11, 2011 |
| Publication date | Mar 29, 2016 |
| Grant date | Mar 29, 2016 |
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A black eye position existence probability density distribution learning unit that records a black eye position which is detected in the daytime to a black eye position existence probability density distribution, a red-eye candidate detection unit that detects red-eye candidates from the image of the driver at night, and a red-eye determination unit that determines the red eye from the red-eye candidates. The red-eye determination unit determines the red eye on the basis of the relationship between a change in the direction of the face and the behavior of the red-eye candidate and determines, as the red eye, the red-eye candidate disposed at the position of high black eye position existence probability density with reference to the black eye position existence probability density distribution.
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The invention claimed is: 1. A red-eye determination device that determines a red eye from a red-eye candidate which is detected from image information of a captured image of a vehicle occupant, comprising: circuitry configured to: learn a black eye position existence probability density distribution from the image information acquired while the vehicle is being driven; detect the red-eye candidate from the image information; and determine a red-eye candidate, disposed at a position of high black eye position existence probability density in the learned black eye position existence probability density distribution, as the red-eye when two or more red-eye candidates are detected. 2. The red-eye determination device according to claim 1 , wherein the circuitry is further configured to: detect a change in a direction of a face of the occupant; detect a behavior of each detected red-eye candidate; and determine the red eye on the basis of a relationship between the change in the direction of the face and the behavior of each detected red-eye candidate. 3. The red-eye determination device according to claim 1 , wherein the circuitry is further configured to: calculate the amount of light outside the vehicle, learn the existence probability density distribution at a time when the amount of light outside the vehicle is large, and determine the red eye using the existence probability density distribution at a time when the amount of light outside the vehicle is small. 4. The red-eye determination device according to claim 1 , wherein the black eye position existence probability density distribution includes black eye positions over a predetermined period. 5. The red-eye determination device according to claim 4 , wherein the black eye position existence probability density distribution represents frequency of the black eye positions over the predetermined period.
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