Nec Corporation

Masumi Ishikawa

Yuzo Senda

Toshiyuki Nomura

Kenichi Ishii

Kyota Higa

Shoji Nishimura

Shinya Yamasaki

Shin Tominaga

Gaku Nakano

Shigeki Shinoda

Shota Yamamoto

Kana Takizawa

Youtarou Noda

Yoshitaka Higeta

Narumitsu Notomi

Aki Nakamura

Eishi Arita

Yoshiyuki Satou

Akio Yamada

Takahiro Toizumi

Daisuke Ikefuji

Daisuke Iketuji

A face authentication apparatus () includes an image generation unit () that generates a first image by capturing an image of a person, a control unit () that, when the first image does not satisfy a criterion for face collation, controls lighting and causes the image generation unit () to generate a second image by capturing an image of the person again, and a face authentication unit () that executes face authentication by using the second image.

Face authentication apparatus, control method and non-transitory computer-readable storage medium therefor, face authentication gate apparatus, and control method and non-transitory computer-readable storage medium therefor

An image processing apparatus () includes an image processing unit () and a risk information generation unit (). The image processing unit () acquires and processes an image generated by an image capture apparatus (), that is, an image including a plurality of persons. As an example, the image processing unit () sets a person being at least part of the plurality of persons as a reference person and computes a distance (first distance) between the reference person and the closest person to the reference person. By using the first distance, the risk information generation unit () generates infection risk information in a target region being an image capture target of the image capture apparatus ().

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

A station monitoring apparatus () includes an image processing unit () and a decision unit (). The image processing unit () determines a position of a door () of a vehicle () and a position of a person by analyzing an image generated by a capture apparatus (), i.e., an image capturing a platform of a station. The decision unit () decides, after the vehicle () has begun to move, by use of a position of the door () and a position of the person, whether to perform predetermined processing. For example, the decision unit () performs the predetermined processing when deciding that a difference between a movement velocity of any of the persons and a movement velocity of the door is within a criterion continuously for a criterion time.

Station monitoring apparatus, station monitoring method, and non-transitory computer readable medium

An image processing apparatus includes at least one memory configured to store instructions, and at least one processor configured to execute the instructions to process an image of a target region, and thereby compute a proximity index being an index relating to a proximity state of a plurality of persons captured in the image, and cause a predetermined apparatus to execute predetermined control, when the proximity index satisfies a criterion.

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

A region determining device includes a likelihood calculating unit that calculates a likelihood of wetness of a pixel in an image including a plurality of frames, a non-water pixel measuring unit that measures the number of non-water pixels in which the likelihood falls within a first non-water range in any one of determination regions to be determined in the respective frames, a boundary pixel measuring unit that measures the number of boundary pixels in which the likelihood falls within a first water range in any one of the determination regions and the likelihood falls within a second non-water range in any one of the determination regions, and a region determining unit that determines whether the determination region satisfies a predetermined determination condition based on the number of non-water pixels and the number of boundary pixels.

Region determining device, monitoring system, region determining method, and recording medium

An image signal is received from a camera and a signal is received from each of a number of sensors. For each sensor, a position of a signal source is estimated based on the signal from the sensor. For each sensor, information on a situation expression expressing a situation is extracted based on the signal from the sensor. The situation expression for each sensor is superimposed on a captured image by the camera and the captured image superimposed with the situation expression for each sensor is output. In a case in which the sensors are located at different positions and the situation expression for each sensor overlap at least partially on the captured image, an overlapping order of the situation expressions for the sensors superimposed on the captured image is determined based on a distance between the camera and each sensor.

Superimposition of situation expressions onto captured image

According to the present invention, a water region detecting unit () detects, in a determination target region set in an input image captured of a river, a water region covered by water. An area ratio calculating unit () calculates the ratio of the area of the water region to the area of the determination target region. A risk level determining unit () calculates the level of flooding risk of the river on the basis of the calculated ratio.

River risk level determining device, river risk level determining method, and storage medium

A signal from a sensor and an image signal are received, and a position of a signal source is estimated based on the signal from the sensor. Information on a situation expression is extracted based on the signal from the sensor. The situation expression expresses a situation outside a capture range related to the image signal. A display reference point on a boundary of a captured image by the image signal is set by using a positional relation between the position of the signal source and the capture range, and by using the display reference point, determine a display position of the situation expression on the captured image. The situation expression is superimposed onto the captured image in accordance with the display position, and the captured image superimposed with the situation expression is output.

Superimposition of situation expression onto captured image

A signal from a sensor and an image signal are received, and a position of a signal source is estimated based on the signal from the sensor. Information on a situation expression is extracted based on the signal from the sensor. The situation expression expresses a situation outside a capture range related to the image signal. A display position of the situation expression on a captured image by the image signal is determined using a positional relation between the position of the signal source and the capture range. A size of the situation expression on the captured image is determined depending on a distance between a position of the signal source and a capturing position where the image signal is captured. The situation expression with the determined size is superimposed onto the captured image in accordance with the display position; the captured image superimposed with the situation expression is output.

An information presentation apparatus includes: a signal input unit configured to input an image signal from a camera and a signal from a sensor; a signal-source-position estimation unit configured to estimate a position of a signal source, based on the signal from the sensor; a situation-expression extraction unit configured to extract situation expression indicating information expressing a situation outside a capture range of the camera, based on the signal from the sensor; a display-method determination unit configured to determine a display method of the situation expression on a captured image displayed by the image signal, based on a positional relation between the position of the signal source and the capture range of the camera; and a presentation unit configured to superimpose the situation expression onto the captured image, in accordance with the display method, and outputting the captured image superimposed with the situation expression.

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

The present approach enables an impression of the atmosphere of a scene or an object present in the scene at the time of photography to be pictured in a person's mind as though the person were actually at the photographed scene. A feeling-expressing-word processing device has: a feeling information calculating unitfor analyzing a photographed image, and calculating feeling information which indicates a situation of a scene portrayed in the photographed image or a condition of an object present in the scene; and a feeling-expressing-word extracting unitfor extracting, from among feeling-expressing words which express feelings and are stored in a feeling-expressing-word databasein association with the feeling information, a feeling-expressing word which corresponds to the feeling information calculated by the feeling information calculating unit

Feeling-expressing-word processing device, feeling-expressing-word processing method, and feeling-expressing-word processing program

The present approach enables an impression of the atmosphere of a scene or an object present in the scene at the time of photography to be pictured in a person's mind as though the person were actually at the photographed scene. A feeling-expressing-word processing device has: a feeling information calculating unitfor analyzing a photographed image, and calculating feeling information which indicates a temporal change in a scene shown in the photographed image or a movement of an object present in the scene; and a feeling-expressing-word extracting unitfor extracting, from among feeling-expressing words which express feelings and are stored in a feeling-expressing-word databasein association with the feeling information, a feeling-expressing word which corresponds to the feeling information calculated by the feeling information calculating unit

The invention makes it possible to determine whether or not objects appearing in various temporal positions in an input video are identical to each other. Identity between a plurality of objects detected from an input video is determined by using an object identity probability determined based on an interframe distance, the interframe distance being a distance between frames from which the respective objects are detected.

Identifying objects in images using object identity probabilities based on interframe distances

Determination whether a moving object appearing in input video is an object tracked and captured by a cameraman is enabled. It is determined that a moving object is a subject image to which a cameraman pays attention based on a time difference between time when a movement state determined by a motion vector of the moving object changes and time when a shooting state determined by a motion vector of a camera motion changes.

Tracked object determination device, tracked object determination method and tracked object determination program

An apparatus includes an image segment classification means that analyzes an input video to generate image segment groups each segment including image segments which include an identical object; a sound segment classification means that analyzes the input video to generate sound segment groups each segment including sound segments which include an identical object; an inter-segment group score calculation means that calculates a similarity score between each image segment group and each sound segment group; and a segment group correspondence decision means that decides, using the scores, whether or not an object in the image segment groups and an object in the sound segment groups are the same.

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Tokyo, Japan

Masumi Ishikawa