Abstract: An information processing apparatus whereby the detection accuracy of a visual line direction of a driver can be improved, comprises an image acquiring part for acquiring an image including a face of a driver of a vehicle, a detecting part for detecting a visual line direction of the driver in the image acquired by the image acquiring part, an accumulating part for accumulating detection results by the detecting part, and a reference determining part for determining a reference of the visual line direction for the driver, using the detection results accumulated in the accumulating part.

Abstract: An information processing apparatus whereby the detection accuracy of a face direction of a driver of a vehicle can be improved, comprises an image acquiring part for acquiring an image including a face of a driver of a vehicle, a detecting part for detecting a face direction of the driver in the image acquired by the image acquiring part, an information acquiring part for acquiring information concerning a traveling condition of the vehicle, a first deciding part for deciding whether the vehicle is in a specified traveling condition based on the information acquired by the information acquiring part, and a reference determining part for determining a reference of the face direction of the driver based on the face direction of the driver while the vehicle is decided to be in the specified traveling condition by the first deciding part.

Abstract: Distracted driving determination reflects changes in the traveling direction of the vehicle.

Abstract: A concentration determination apparatus compares a degree of concentration on driving with a first criterion when a location of a traveling vehicle is within a first area different from a dangerous area, and compares the degree of concentration on driving with a second criterion higher than the first criterion when the location of the traveling vehicle is within a second area corresponding to the dangerous area, and outputs an instruction signal for supporting the driver when the location of the traveling vehicle is within the second area and the degree of concentration on driving does not satisfy the second criterion.

Abstract: On a vehicle traveling on a downward slope, a driver's intentional checking is erroneously determined to be distracted driving, thus generating an alert. An apparatus includes an image data obtaining unit that obtains image data about a driver, a distracted driving determiner that determines distracted driving based on a face orientation and gaze of the driver captured in the image data and a determination criterion, a traveling state obtaining unit that obtains traveling state data about the vehicle, a traveling state determiner that determines whether the vehicle is traveling downward based on the traveling state data, and a criterion changer that changes, when the vehicle is determined to be traveling downward, the determination criterion for an upward face orientation and the gaze of the driver from a value used when the vehicle is determined not to be traveling downward.

Abstract: If an alert to distracted driving is disabled, the driver can be alerted insufficiently in situations that take attention. An alert control apparatus (300) includes data obtaining units (41 to 43) that obtain sensing data (a to j) from sensors (6 to 15), a railroad crossing recognizer (44) that recognizes a railroad crossing in front of a vehicle based on the sensing data, and a crossing entry determiner (45) that determines whether the vehicle has entered the railroad crossing based on the sensing data, and a criterion changer (46) that sets, for an area defined in front of the vehicle, a determination criterion defined for causing a distracted driving alert device (200) to generate an alert in response to detection of the vehicle entering the railroad crossing.

Abstract: An alert may not be generated at railroad crossings. An alert control apparatus (300) includes data obtaining units (41 to 43) that obtain sensing data (a to j) from sensors (6 to 15), a railroad crossing recognizer (44) that recognizes the position of a railroad crossing relative to a vehicle based on the sensing data, and a criterion changer (46) that changes, based on the recognition result, a determination criterion used by a distracted driving alert device (200) to generate an alert to distracted driving to a criterion with which the alert is more likely to be generated while the vehicle is passing the railroad crossing than at other times.

Abstract: A driver state recognition apparatus that recognizes a state of a driver of a vehicle provided with an autonomous driving system includes an image acquisition unit that acquires an image captured by a camera that captures the driver, a hand detection unit that detects the hands of the driver from the image acquired by the image acquisition unit, an object holding state detection unit that detects the holding state of an object by the hands of the driver detected by the hand detection unit, and a readiness determination unit that determines whether the driver is in a state of being able to immediately operate a steering wheel of the vehicle during autonomous driving, based on the holding state of the object detected by the object holding state detection unit.

Abstract: A driver state recognition apparatus that recognizes a state of a driver of a vehicle provided with an autonomous driving system includes a state recognition data acquisition unit that acquires state recognition data of an upper body of the driver, a shoulder detection unit that detects shoulders of the driver using the state recognition data acquired by the state recognition data acquisition unit, and a readiness determination unit that determines whether the driver is in a state of being able to immediately hold the steering wheel of the vehicle during autonomous driving, based on detection information from the shoulder detection unit.

Abstract: A driver state recognition apparatus that recognizes a state of a driver of a vehicle having an autonomous driving system includes a state recognition data acquisition unit that acquires state recognition data of a state of a foot of a driver's seat of the vehicle, a leg state inference unit that infers a state of the driver's legs using the state recognition data acquired by the state recognition data acquisition unit, and a readiness determination unit that determines whether the driver is in a state of being able to immediately operate the pedal of the vehicle during autonomous driving, based on inference information from the leg state inference unit.

Abstract: A driver state recognition apparatus that recognizes a state of the driver of a vehicle provided with an autonomous driving system includes a load data acquisition unit that acquires load data measured by a load measurement unit provided at a foot of a driver's seat of the vehicle, a sitting posture inference unit that infers the driver's sitting posture using the load data acquired by the load data acquisition unit, and a readiness determination unit that determines whether the driver is able to immediately operate the pedal of the vehicle during autonomous driving, based on inference information from the sitting posture inference unit.

Abstract: An information processing apparatus for estimating a line-of-sight direction of a person may include: an image acquiring unit configured to acquire an image containing a face of a person; an image extracting unit configured to extract a partial image containing an eye of the person from the image; and an estimating unit configured to input the partial image to a learning device trained through machine learning for estimating a line-of-sight direction, thereby acquiring line-of-sight information indicating a line-of-sight direction of the person from the learning device.

Abstract: A character recognition device comprising: a storage means storing a plurality of dictionary databases corresponding to each of a plurality of degradation levels, said databases being generated from images wherein an original character image has been degraded using a plurality of different degradation levels; an image input means that receives input of images; an extraction means that extracts character images from said images; a usage order determination means that determines an usage order for dictionary databases on the basis of degradation degrees for extracted character images; and a character recognition means that uses dictionary databases in accordance with said usage order, recognizes characters included in the extracted character image and, if recognition results for the character recognition fulfill prescribed conditions, outputs the recognition results without performing recognition using the dictionary database next in said usage order.

Abstract: A character recognition device comprising: a storage means storing a plurality of dictionary databases corresponding to each of a plurality of degradation levels, said databases being generated from images wherein an original character image has been degraded using a plurality of different degradation levels; an image input means that receives input of images; an extraction means that extracts character images from said images; a usage order determination means that determines an usage order for dictionary databases on the basis of degradation degrees for extracted character images; and a character recognition means that uses dictionary databases in accordance with said usage order, recognizes characters included in the extracted character image and, if recognition results for the character recognition fulfil prescribed conditions, outputs the recognition results without performing recognition using the dictionary database next in said usage order.

Abstract: An image processing device for performing a preprocessing of an image recognition process to an input image is provided, which includes: a generation element for generating a histogram of luminance values of the input image; a determination element for determining a reference value for the luminance values on the basis of the histogram, and determining a high luminance pixel that is a pixel having a luminance value greater than the reference value; and a conversion element for converting the luminance value of the high luminance pixel into a luminance value that is lower than or equal to the reference value. Thus, even when a high luminance region is present in the input image due to specularly reflected light or the like, high-accuracy character recognition can be performed.

Abstract: When there is a possibility that a third character region is redundantly selected in both a case where the line extraction process is performed starting from a first character region and a case where the line extraction process is performed starting from a second character region located in a line different from a line containing the first character region, the line recognition unit determines which line to incorporate the third character region in, by comparing a case of incorporating the third character region into the line starting with the first character region, with a case of incorporating the third character region into the line starting with the second character region.

Abstract: When there is a possibility that a third character region is redundantly selected in both a case where the line extraction process is performed starting from a first character region and a case where the line extraction process is performed starting from a second character region located in a line different from a line containing the first character region, the line recognition unit determines which line to incorporate the third character region in, by comparing a case of incorporating the third character region into the line starting with the first character region, with a case of incorporating the third character region into the line starting with the second character region.

Abstract: An image processing method for identifying a region in an input image by character recognition, the region coinciding with a predetermined search condition, includes receiving the search condition, the search condition including assignments of plural format character strings, each format character string including an assignment of a character type or a specific character for each character of a recognition target, extracting a character string region becoming a candidate from the input image, calculating a similarity between a character recognition result and the plural format character strings with respect to each group of plural character string regions, the character recognition result being of each character string region included in each group, and determining the group coinciding with the search condition among the groups of plural character string regions according to the calculated similarity.

Abstract: An image processing method for identifying a region in an input image by character recognition, the region coinciding with a predetermined search condition, includes receiving the search condition, the search condition including assignments of plural format character strings, each format character string including an assignment of a character type or a specific character for each character of a recognition target, extracting a character string region becoming a candidate from the input image, calculating a similarity between a character recognition result and the plural format character strings with respect to each group of plural character string regions, the character recognition result being of each character string region included in each group, and determining the group coinciding with the search condition among the groups of plural character string regions according to the calculated similarity.

Abstract: A face collation apparatus has a storage that stores a feature quantity of at least one registrant, the feature quantity being extracted from a registration image of the registrant, a feature quantity extractor that extracts a feature quantity from a collation image of a collation object person, a score calculator that calculates a score indicating an analogy degree between the feature quantity of the registrant and the feature quantity of the collation object person, a score adjuster that adjusts the score using a score adjustment parameter so that any one of a stranger acceptance rate indicating a probability that a stranger is accepted at the time of collation, a principal rejection rate indicating a probability that a principal is rejected at the time of collation, and an equal error rate, which is a probability that the stranger acceptance rate and the principal rejection rate are equal, becomes substantially constant regardless of a registration condition and/or a collation condition, and a determinatio