Fujitsu Corporation

Kabushiki Kaisha Toshiba

Yasuhiro Aoki

Masami Mizutani

Toshio Sato

Ryo Ishida

Yusuke Takahashi

Hiroshi Sukegawa

Junichi Nakamura

Masaya Maeda

Yoshihiko Suzuki

Masahiro Yamamoto

Daisuke Uchida

Tetsuo Yamamoto

Takushi Fujita

Satoru Ushijima

Kentaro Yokoi

Tomoyuki Hamamura

Bunpei Irie

Hideo Horiuchi

Hiroshi Onihashi

Akihiko Nakao

Kenji Kimiyama

Hideki Ide

Takuma Akagi

Kei Takizawa

Shunji Ariyoshi

Mitsutake Hasebe

Kiyoshi Momota

An information processing apparatus acquires video image data on a person who is scanning a code of a commodity product to an accounting machine. The information processing apparatus identifies, from the video image data by analyzing the acquired video image data, each of an entire region of the commodity product and a position of a code held by the commodity product. The information processing apparatus generates, based on the identified position of the code held by the commodity product with respect to the entire region of the commodity product, an alert that indicates an abnormality of a behavior of registering the commodity product to the accounting machine.

Non-transitory computer-readable recording medium, information processing method, and information processing apparatus

An information processing device identifies a first feature amount related to the number of the product registered on the specific machine based on an acquired product information, generating, from an image capturing a user in front of the specific machine, a first area information, a second area information and an interaction between the first class and the second class, specifies an action of the user of registering the product to the specific machine based on the first area information, the second area information, and the interaction, identifies a second feature amount related to the number of time of carrying out the action; and generates an alert based on the first feature amount and the second feature amount.

Non-transitory computer-readable recording medium, notification method, and information processing device

A method for driving support includes: collecting driving information from a terminal mounted on a vehicle driven by a driver, the driving information including data acquired by the terminal during the vehicle is driven by the driver; evaluating a degree of safe driving of the driver in accordance with the driving information; determining whether driving behavior of the driver varies based on the driving information when the driver is a person for whom a degree of safe driving is evaluated higher than a threshold; executing a determination process for determining that a road section identified by the driving information is in a condition turning into bad road when the driving behavior is determined as being varied in accordance with the driving information; and updating road surface condition information that indicates a road surface condition in the road section, based on a result of determination in the determination process.

System, apparatus, and method for driving support

An information notification apparatus includes a camera; a memory; and a processor coupled to the memory and configured to perform line-of-sight detection on an image captured by the camera, calculate a forward gaze degree of a gaze directed to a predetermined area in accordance with a line-of-sight direction obtained in line-of-sight detection; execute a notification to an outside in a first information if the forward gaze degree is lower than a first threshold; and execute the notification in a second information which information is less than the first information if the forward gaze degree is higher than or equal to the first threshold.

Information notification apparatus and information notification method

An embodiment of a vehicle monitoring apparatus has a determiner and a reader. The determiner determines whether or not a specific site of a vehicle exists at least in an area of an image, the image imaged by an imager, the area being one of multiple areas into which the image is divided by dividing line that are substantially orthogonal to a direction of travel of the vehicle. The reader reads information on a license plate mounted to the vehicle from the area in case that the determiner determines the specific site of the vehicle is determined to exist in the area.

Vehicle monitoring apparatus and vehicle monitoring method

An image processing device includes a processor; and a memory which stores a plurality of instructions, which when executed by the processor, cause the processor to execute, acquiring an image that includes a marker that includes a plurality of first color regions and a plurality of second color regions, of which a color is different from a color of the first color regions, the plurality of first color regions being opposed to each other and the plurality of second color regions being opposed to each other; extracting the first color regions or the second color regions from the image; reducing the first color regions or the second color regions until a first degree of similarity between a shape of the first color regions or the second color regions, the first color regions or the second color regions being extracted, and a predetermined elliptical shape satisfies a predetermined first threshold value.

Image processing device and image processing method

A gaze point detection device includes a processor; and a memory which stores a plurality of instructions, which when executed by the processor, cause the processor to execute, capturing an image of at least part of a scene around a vehicle; detecting a direction of a line of sight of a person in the vehicle; determining an intersection between a plane and a line of sight of the person in the vehicle, the plane being along a running direction of the vehicle and apart from the vehicle by a given distance; and presenting a resultant projected point on the image as a gaze point.

Gaze point detection device and gaze point detection method

An image processing apparatus includes an image obtaining section for obtaining images from cameras on a moving object; a correspondence processing section for generating a correspondence between characteristic points extracted from a pair of images before and after the moving object moves straight; a height/orientation estimating section for estimating orientations and heights of the cameras, by estimating a homography matrix from the corresponded characteristic points, then decomposing the homography matrix, and using the decomposition result, a movement direction vector, a road surface normal vector, and a moved amount of the moving object; a projective transform section for applying projective transform to common view parts between the cameras; and a relative position estimating section for estimating a relative position of one of the cameras relative to another one of the cameras using translation for overlapping the common view parts after projective transform.

Image processing apparatus and image processing method with projective transform of multiple cameras

A vehicle detection apparatus according to an embodiment comprises a controller detecting a vehicle from an image obtained by photographing the vehicle. The controller extracts a plurality of line-segment components indicating a boundary between a specific region of the vehicle and a vehicle body and included in the image. The controller measures a position of the vehicle based on coordinate information between the extracted line-segment components and photographing position information of the image.

Vehicle detection apparatus and vehicle detection method

A visual confirmation evaluating apparatus generates unobstructed state information indicating that a driver in a vehicle at an intersection is in a position capable of visually confirming roads on the right and left. This unobstructed state information is used to evaluate a safety check made by the driver, in order to improve the accuracy of the evaluation. In addition, the visual confirmation evaluating apparatus generates viewing direction information indicating a direction in which the driver of the vehicle should look at the intersection, and an appropriateness of a line of sight of the driver is evaluated using the viewing direction information.

Visual confirmation evaluating apparatus and method

In a person retrieval apparatus, a plurality of extraction processing sections each extract personal biometric information from images taken by a plurality of cameras. A quality determination section determines a quality of each piece of biometric information extracted by the extraction processing sections. A reliability level setting section sets a reliability level to each piece of biometric information on the basis of the quality determined by the quality determination section. The biometric information extracted by the extraction processing sections and the reliability level set by the reliability level setting section are stored in a memory. In this state, in the person retrieval apparatus, the face retrieval section performs person retrieval processing on each piece of biometric information stored in the memory in descending order of the reliability level corresponding to each piece of biometric information.

Person retrieval apparatus

An image processing program causes a computer to execute processing of obtaining an image, photographed with a camera, of markers disposed in a real space, creating vectors from the camera and to the markers, selecting a reference marker from the markers, calculating a inner product of the vectors, canceling use of a negative sign included in an equation that obtains a distance between the camera and a remaining marker, creating sign patterns based on to the cancelled remaining markers, setting a first distance between the reference marker and the camera, calculating candidates of a distance between the camera and the remaining markers, calculating error between an inter-marker distance in a real space and the sign patterns, calculating other error when a second distance is set, determining the distance according to the error and the other error, and calculating a position and pose of the camera according to the determined distance.

Image processing apparatus

An image processing apparatus executes acquiring, on a first image having a pattern having first areas and second areas that have a different color from the first areas, center position of the pattern where the first areas and the second areas cross, acquiring boundary positions between the first and second area, converting the first image to a second image having its image distortion corrected by using the center position and the boundary positions, acquiring, by scanning on the second image, expectation values which are areas including the point where the first and second areas cross excluding the center position, acquiring a intersection position of the intersection on the second image based on the expectation values, acquiring the center position and the positions on the first image corresponding to the intersection position by inverting the second image to the first image, determining the points corresponding to the acquired positions as features.

Image processing apparatus and non-transitory storage medium storing image processing program

A face data registration apparatus is an apparatus to register dictionary data for walker authentication by use of a face image. The face data registration apparatus causes a posture data collection unit to collect posture variation data from a plurality of face images obtained by photographing a face of a registrant whose posture (face direction) is changed, further causes a walking data collection unit to collect walking data from a face image obtained by photographing a face of the registrant who actually walks along a passage, causes a synthesizing unit to create dictionary data by synthesizing posture variation data and walking data and registers the created dictionary data as dictionary data used to authenticate a person who walks in the passage by face collation into a dictionary data unit.

Dictionary data registration apparatus and dictionary data registration method

An addressee recognizing apparatus recognizes the addressee of matter to be delivered. A database stores a description format including at least a described position, the number of character lines, and the length of each character line in a sender area on the matter to be delivered. When a scanner obtains an image, a plurality of addressee candidate areas are obtained from the image. The apparatus determines whether the description format for each of the extracted candidates matches the description format for the sender area stored in the database. If the description format for the candidate is determined to match the description format for the sender area, the candidate is prohibited from being recognized as the addressee area.

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Kawasaki, Japan

Yasuhiro Aoki