Mitsubishi Electric Corporation

Ryosuke Torama

Shintaro Watanabe

Yudai Nakamura

Takumi Takei

Takashi Hirano

Atsushi Matsumoto

Yuki Furumoto

Masanobu Osawa

Hisashi Sugawara

Asako Shigeta

Daichi Tsunemichi

Yusuke Nakamatsu

Ryohei Murachi

A pupil detection device includes an eye area image obtaining unit that obtains image data representing an eye area image in a captured image obtained by a camera; a luminance gradient calculating unit that calculates luminance gradient vectors corresponding to respective individual image units in the eye area image, using the image data; an evaluation value calculating unit that calculates evaluation values corresponding to the respective individual image units, using the luminance gradient vectors; and a pupil location detecting unit that detects a pupil location in the eye area image, using the evaluation values.

Pupil detection device, line-of-sight detection device, occupant monitoring system, and pupil detection method

An eye tracking device according to the present disclosed technology includes: an image acquiring unit that acquires an image of a subject; an arithmetic processing unit that performs image processing; and a line-of-sight angle calculating unit that calculates a line-of-sight direction vector on the basis of a result of the image processing. The arithmetic processing unit includes: a real image arithmetic processing unit that performs arithmetic processing on a real image in an image space; and a three-dimensional model superimposition processing unit that performs superimposition processing on the image space using a three-dimensional face model. The three-dimensional model superimposition processing unit includes a three-dimensional model correcting unit that corrects the three-dimensional face model in order to eliminate an error caused by the superimposition processing.

Eye tracking device

A three-dimensional position estimation device includes: a feature point extracting unit for detecting an area corresponding to the face of an occupant in an image captured by a camera for imaging a vehicle interior and extracting a plurality of feature points in the detected area; an inter-feature-point distance calculating unit for calculating a first inter-feature-point distance that is a distance between distance-calculating feature points among the plurality of feature points; a face direction detecting unit for detecting the face direction of the occupant; a head position angle calculating unit for calculating a head position angle indicating the position of the head of the occupant with respect to an imaging axis of the camera; an inter-feature-point distance correcting unit for correcting the first inter-feature-point distance to a second inter-feature-point distance that is a distance between distance-calculating feature points in a state where portions of the head corresponding to the distance-calculating feature points are arranged along a plane parallel to an imaging plane of the camera using a result detected by the face direction detecting unit and the head position angle; and a three-dimensional position estimating unit for estimating the three-dimensional position of the head using the head position angle, the second inter-feature-point distance, and a reference inter-feature-point distance.

Three-dimensional position estimation device and three-dimensional position estimation method

A face direction estimation device () includes a face image acquiring unit () acquiring a shot face image, a face detecting unit () detecting the face position in the face image, a face organ detecting unit () detecting face organs in the detected face position, a switching determining unit () evaluating the detected face organs, and switching between first and second face direction estimating methods in accordance with the evaluation, a first face direction estimating unit () estimating the face direction in accordance with a positional relationship among the detected face organs when the switching determining unit switches to the first face direction estimating method, and a second face direction estimating unit () calculating a face movement amount on the basis of the detected face position and estimating the face direction in accordance with the movement amount when the switching determining unit switches to the second face direction estimating method.

Face direction estimation device and face direction estimation method

There are included: a frequency distribution creating unit for referring to the face information detected by the face information detecting unit, and when a preset change occurs in the driver's face, creating a frequency distribution of face information in a preset time section from the face information detected by a face information detecting unit; a mode value calculating unit for calculating a mode value of the face information from the frequency distribution created; and a reference value calculating unit for calculating a reference value indicating a steady state of the driver from the mode value of the face information.

Driving state determination device, determination device, and driving state determination method

Disclosed is a voice recognition device () including: a voice recognition unit () for recognizing a user's uttered voice; a function performing unit () for performing a function corresponding to a recognition result provided by the voice recognition unit (); a performance degree calculating unit () for calculating a degree to which the function performing unit () can perform the function corresponding to the recognition result; and a control unit () for, when the degree calculated by the performance degree calculating unit () is equal to or greater than a predetermined first reference, causing the function performing unit () to perform the function corresponding to the recognition result.

Voice recognition device

Because in a server for navigation that causes a navigation device mounted in a moving object to provide guidance on a moving route and display map data on the basis of the map data and the position of the moving object, from a recognition result of a user's utterance and position information, evaluation information about a point or is acquired automatically, an evaluation about the point can be left automatically and safely without requiring the user's special operation. Further, by adding the evaluation information to map data and displaying this map data at the time of use, the navigation system enables the user to revisit a point through which the user desires to pass once again, bypass a point through which the user desires to never pass again, and so on without requiring the user's work of consciously memorizing the impression about each point and so on.

Growing community of inventors

Tokyo, Japan

Ryosuke Torama