Fuji Xerox Co., Ltd.

Nissan Motor Company Limited

Fujifilm Business Innovation Corp.

Takeshi Onishi

Takashi Sonoda

Yusuke Yamaura

Daisuke Ikeda

Masatsugu Tonoike

Jun Shingu

Yusuke Uno

Chuan Wang

Noriji Kato

Ryota Ozaki

Yukihiro Tsuboshita

Ryoko Usuba

Keiichi Nemoto

Jin Guo

Takahiro Saito

Kensuke Ito

Junichi Matsunoshita

Tadashi Shimizu

Tetsuya Kimura

Hironori Tanaka

Yukio Iijima

Daisuke Tatsumi

Hajime Ichida

Eisaku Hayashi

Hideo Fujii

Hiroyuki Sayuda

Yuka Aoki

Ryuji Kano

Kohji Taguchi

A driving control device executes driving assistance control for a subject vehicle using a processor having a first controller and a second controller. The first controller executes lane keeping control while the second controller executes deviation preventing control. The processor determines whether or not the second controller starts the deviation preventing control during execution of the lane keeping control with the first controller. Upon a determination that the second controller starts the deviation preventing control during execution of the lane keeping control, the processor concludes the lane keeping control under execution, starts deceleration control for the subject vehicle, continues the deviation preventing control until the subject vehicle stops, and concludes the deviation preventing control under execution when the subject vehicle stops by the deceleration control.

Driving control method and driving control device

An information processing apparatus includes an acquisition section that acquires at least two first evaluation values obtained by evaluating a motion of a worker in time series and a reference evaluation value obtained by evaluating a motion of an expert as an exemplar of the worker, a calculation section that calculates at least two motion levels indicating similarity between the at least two first evaluation values and the reference evaluation value, and an output section that outputs a development degree indicating a degree of development of the worker based on the at least two motion levels.

Information processing apparatus

An information processing apparatus includes a receiving unit that receives a first image which has been extracted from an image obtained by imaging of an omnidirectional camera, the first image having been obtained by imaging a head of a person and position information indicating a position of the person in the image, a calculation unit that calculates a degree of distortion of the first image from the position information, and a learning unit that performs learning for estimating an orientation of a face of the person by using the calculated degree of distortion and the first image.

Information processing apparatus and non-transitory computer readable medium storing information processing program for estimating face orientation by using an omni-directional camera

A search apparatus includes a request acquisition unit that acquires a search request from a user, a search processing unit that executes a search process on a basis of a search target designated in the search request, an information acquisition unit acquires user-related information related to the user, a selection unit, a selection unit, and a providing unit. The selection unit selects, as information expected by the user, a piece of search result information highly relevant to the user-related information if the search processing unit acquires, as search results, multiple pieces of information having mutually different semantic contents and being multiple pieces of search result information from among the multiple pieces of search result information having the different semantic contents. The providing unit provides the user with the information expected by the user selected by the selection unit as a search result responding to the search request.

Search apparatus and search system

A hand-raising detection device includes a converter and a detection unit. The converter performs conversion of a predetermined space including a person into an overhead view image by using a result of three dimensional measurement performed on the predetermined space. The detection unit performs detection of a hand-raising action by using a silhouette image of the person in the overhead view image resulting from the conversion performed by the converter.

Hand-raising detection device, non-transitory computer readable medium, and hand-raising detection method

An information processing apparatus includes a detection unit that detects an orientation of the face of a customer in a store, an estimating unit that estimates the customer's state of mind in accordance with a chronological change of the detected orientation of the face of the customer, and an output unit that outputs guidance information that guides the customer to a customer service, in accordance with the estimated customer's state of mind.

Information processing apparatus, information processing method, and non-transitory computer readable medium

A position identifying apparatus includes multiple image capturers, an accumulating unit, a deriving unit, and an identifying unit. The image capturers capture images of predetermined image capturing ranges. The accumulating unit accumulates in time series movement track information of a person included in the images captured by the image capturers. The deriving unit derives, using the movement track information accumulated in the accumulating unit, for each image position in an image captured by any one of the image capturers, a probability that, at a same time as a time at which a person is image-captured at the image position, a person is image-captured at each image position in an image captured by another one of the image capturers. The identifying unit identifies, from the probability derived by the deriving unit, an image position common to the images captured by the image capturers.

Position identifying apparatus and method, path identifying apparatus, and non-transitory computer readable medium

A store-entering person attribute extraction apparatus includes a timing detector, an extraction unit, and an associating unit. The timing detector detects a boundary crossing timing for entering a store. The extraction unit extracts predetermined personal attributes from a captured store-entering person image acquired by capturing an image of a person entering the store. The associating unit associates the boundary crossing timing detected by the timing detector with the attributes extracted by the extraction unit.

Store-entering person attribute extraction apparatus, store-entering person attribute extraction method, and non-transitory computer readable medium

A moving-object counter apparatus includes a first captured-image acquisition unit, a moving-object moving-path specifying unit, a virtual-line setting unit, and a first moving-object counter unit. The first captured-image acquisition unit acquires multiple images captured at respective times different from each other by a first imaging apparatus capturing images of a predetermined region. The moving-object moving-path specifying unit specifies, on the basis of the acquired images, one or more moving paths along which one or more respective moving objects have moved in the predetermined region. The virtual-line setting unit sets a virtual line on the basis of the specified one or more moving paths. The first moving-object counter unit counts, by counting one or more moving paths that cross the set virtual line among the specified one or more moving paths, one or more moving objects that have passed through the predetermined position.

Moving-object counter apparatus, moving-object counting method, and non-transitory computer readable medium

An information processing apparatus for producing combined image data includes an image data acquiring unit that acquires two image data items a difference obtaining unit that obtains a difference in brightness between the data items a difference area identifying unit that identifies a difference area a surrounding brightness difference obtaining unit that obtains a difference between a brightness of the difference area and a brightness of an area located around the difference area a correction target area information producing unit that produces correction target area information which indicates a correction target area, in which one of the data items, having a greater difference obtained by the surrounding brightness difference obtaining unit, is used as the correction target area and a combined image data producing unit that produces the combined image data, based on the data items and the correction target area information.

Information processing apparatus, information processing method, information processing system, and non-transitory computer readable medium

An information processing apparatus includes a selecting unit, a degree-of-association calculating unit, and a display. The selecting unit selects at least one of multiple components constituting electronic information. The degree-of-association calculating unit calculates the degree of association representing a strength of association between a different component associated with the component selected by the selecting unit and the selected component. The display displays associated-component information regarding the different component which is associated with the selected component, in a form based on the degree of association which is calculated by the degree-of-association calculating unit. When at least one of the components has a description indicating a conjunctive relation with the different component, the degree-of-association calculating unit associates the component with the different component.

Information processing apparatus and non-transitory computer readable medium

A non-transitory computer readable medium stores a program that causes a computer to execute a position conversion process. The process includes storing actual layout information and virtual layout information, the actual layout information defining a layout of a first subject within an actual structure, the virtual layout information defining a layout of a second subject within a virtual structure; acquiring a human position within the actual structure; and converting the human position in the actual layout information into the human position in the virtual layout information.

Movement line conversion and analysis system, method and program

An information processing apparatus includes a setting unit, an extracting unit, and an associating unit. The setting unit sets a position of a first-type person in a region within a predetermined distance from a communication device installed in a structure in a case where the communication device communicates with a mobile terminal carried by the first-type person. The extracting unit extracts a person from an image captured by an image capturing device installed in the structure. The associating unit associates the extracted person with information indicating the first-type person in a case where a relationship between the region and the position of the person satisfies a predetermined condition.

Provided is an image processing apparatus including a first specifying unit that specifies second feature point candidates, a second specifying unit that specifies second feature point candidates, an evaluating unit that generates evaluation information on evaluation of the second feature point candidate of a target first feature point based on the result of comparison between the relative position of the other first feature point to the target first feature point and the relative position of the second feature point candidate of the other first feature point to the second feature point candidate of the target first feature point, and a setting unit that sets the second feature point candidate of the target first feature point in accordance with the evaluation information as the second feature point corresponding to the target first feature point.

Image processing apparatus, non-transitory computer readable medium storing program, and image processing method

An image processing apparatus includes a calculating unit, an edge-position detecting unit, an identifying unit, and a subject-region detecting unit. For each color separation image, the calculating unit calculates a gradient direction of an edge gradient and an edge intensity at each position on the basis of a color captured image. The edge-position detecting unit detects edge positions in each color separation image on the basis of the gradient directions of the edge gradients and the edge intensities. For each position, the identifying unit identifies the gradient direction of the edge gradient and the edge intensity at the position in one of the plural color separation images that includes the largest edge intensity at the position. The subject-region detecting unit detects a subject region on the basis of the detected edge positions, the identified gradient directions of the edge gradients, and the identified edge intensities.

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Kanagawa, Japan

Takeshi Onishi