Abstract: A person detection device configured to analyze a fisheye image obtained by a fisheye camera installed above a to-be-detected area to detect a person existing in the to-be-detected area includes a human body detector configured to detect a human body candidate from a fisheye image and output, as a detection result, a bounding box indicating a region on the fisheye image of each human body candidate detected, a reference storage configured to prestore a reference for a shape and/or size of the bounding box for each position or area on the fisheye image, and a false detection determining unit configured to compare the shape and/or size of the bounding box of the human body candidate contained in the detection result with the reference corresponding to a position where the human body candidate is detected to determine whether the human body candidate results from false detection.

Abstract: An illumination control device that controls an illumination device illuminating inside of a vehicle includes: an action detecting unit that detects an action pattern that is a body motion of a driver and/or a fellow passenger of the vehicle; and a determination unit that determines whether or not a current situation needs illumination control of the illumination device on the basis of the action pattern, and the illumination device is controlled on the basis of the determination of the determination unit.

Abstract: A person detection device configured to analyze a fisheye image obtained by a fisheye camera installed above a to-be-detected area to detect a person existing in the to-be-detected area includes a human body detector configured to detect a human body candidate from a fisheye image and output, as a detection result, a bounding box indicating a region on the fisheye image of each human body candidate detected, a reference storage configured to prestore a reference for a shape and/or size of the bounding box for each position or area on the fisheye image, and a false detection determining unit configured to compare the shape and/or size of the bounding box of the human body candidate contained in the detection result with the reference corresponding to a position where the human body candidate is detected to determine whether the human body candidate results from false detection.

Abstract: A human detection device configured to analyze a fisheye image obtained by a fisheye camera installed above a to-be-detected area to detect a person existing in the to-be-detected area includes a head detector configured to detect at least one head candidate from the fisheye image by using an algorithm for detecting a human head, a human body detector configured to detect at least one human body candidate from the fisheye image by using an algorithm for detecting a human body, and a determining unit configured to determine, as a person, a pair satisfying a prescribed condition among pairs of the head candidate and the human body candidate formed of a combination of a detection result from the head detector and a detection result from the human body detector.

Abstract: In a watching assistance system that assists watching over a subject on a bed, a region setting unit performs processing of receiving a region setting image captured by an imaging device, specifying an approximate position of the bed from the region setting image by object detection, and specifying a bed region by extracting a contour of the bed from a local range including the approximate position.

Abstract: A watching assistance system that assists watching over a subject on a bed includes an image acquisition unit configured to acquire an image captured by an imaging device, a criterion storage in which a criterion for determining a dangerous state are previously set for each of a plurality of determination regions set based on a region of the bed in the image, a detector configured to detect the subject from the image acquired by the image acquisition unit, a state recognition unit configured to recognize a state of the subject detected by the detector, a determination unit configured to determine a danger degree of the state of the subject recognized by the state recognition unit using the criterion for the determination region corresponding to a position at which the subject is detected by the detector, and an output unit configured to provide notification according to the danger degree determined by the determination unit.

Abstract: A watching assistance system that assists watching over a subject on a bed, the watching assistance system includes: a detector configured to detect a position of a predetermined region of the subject from the image captured by an imaging device; a determination unit configured to determine whether the subject raises oneself up based on the position at which the predetermined region of the subject is detected; and an output unit configured to provide notification when the determination unit determines that the subject raises oneself up. Based on a bed region in the image, a lying region is set to an existing range of a predetermined region at a lying time, and a raising-up region is set to an existing range of the predetermined region at a raising-up time. The lying region and the raising-up region are disposed at an interval.

Abstract: In a watching assistance system that assists watching over a subject on a bed, a region setting unit performs processing of receiving a region setting image captured by an imaging device, specifying an approximate position of the bed from the region setting image by object detection, and specifying a bed region by extracting a contour of the bed from a local range including the approximate position.

Abstract: A watching assistance system that assists watching over a subject on a bed, the watching assistance system includes: a detector configured to detect a position of a predetermined region of the subject from the image captured by an imaging device; a determination unit configured to determine whether the subject raises oneself up based on the position at which the predetermined region of the subject is detected; and an output unit configured to provide notification when the determination unit determines that the subject raises oneself up. Based on a bed region in the image, a lying region is set to an existing range of a predetermined region at a lying time, and a raising-up region is set to an existing range of the predetermined region at a raising-up time. The lying region and the raising-up region are disposed at an interval.

Abstract: A watching assistance system that assists watching over a subject on a bed includes an image acquisition unit configured to acquire an image captured by an imaging device, a criterion storage in which a criterion for determining a dangerous state are previously set for each of a plurality of determination regions set based on a region of the bed in the image, a detector configured to detect the subject from the image acquired by the image acquisition unit, a state recognition unit configured to recognize a state of the subject detected by the detector, a determination unit configured to determine a danger degree of the state of the subject recognized by the state recognition unit using the criterion for the determination region corresponding to a position at which the subject is detected by the detector, and an output unit configured to provide notification according to the danger degree determined by the determination unit.

Abstract: An image processing apparatus configured to correct at least part of a face image has an image acquisition unit that acquires an input image, a region extraction unit that extracts a pupil region, which is a region corresponding to an eye of a person, from the input image, a pixel extraction unit that extracts a pixel from the pupil region whose brightness value is higher than a threshold value, a determination unit that determines, based on the result of extraction performed by the pixel extraction unit, whether or not halation has occurred in the pupil region, and a correction unit that performs, based on the result of determination performed by the determination unit, processing for correcting halation on the pupil region. The pixel extraction unit sets the threshold value based on a bias of a brightness distribution of the pixels included in the pupil region.

Abstract: An emotion estimation device includes: an image obtaining unit that obtains plural images in which an object person is photographed in time series; an expression recognizer that recognizes an expression of the object person from each of the plural images obtained by the image obtaining unit; a storage in which expression recognition results of the plural images are stored as time-series data; and an emotion estimator that detects a feature associated with a time change of the expression of the object person from the time-series data stored in the storage in an estimation target period, and estimates the emotion of the object person in the estimation target period based on the detected feature.

Abstract: An image processing device for correcting at least a portion of a face image containing a person's face, includes an image acquisition unit that acquires a face image, a region extractor that extracts a pupil region containing a pupil from the face image, a determination unit that determines a presence or absence of halation in the pupil region, a first template acquisition unit that acquires a first template image which is a correction template image, a reference color acquisition unit that acquires a reference color corresponding to the person from the face image, a second template acquisition unit that generates a second template image using the first template image and the reference color, and a correction unit that composites the second template image with at least the region in the pupil region where the halation occurred to correct the halation.

Abstract: A monitoring device configured to monitor whether a look of a target person is in a proper state suitable for a working environment, and comprising: an image input unit configured to input an image of the target person; a detector configured to analyze the image input by the image input unit and detect a predetermined region of a human body of the target person; a state estimator configured to estimate a state of the predetermined region detected by the detector; a proper state acquisition unit configured to acquire proper state information on a proper state of the predetermined region according to the working environment; and a controller configured to determine whether a present state of the predetermined region of the target person is proper by comparing an estimation result of the state estimator to the proper state information, and perform control according to a determination result.

Abstract: An image processing device for correcting at least a portion of a face image containing a person's face, includes an image acquisition unit that acquires a face image, a region extractor that extracts a pupil region containing a pupil from the face image, a determination unit that determines a presence or absence of halation in the pupil region, a first template acquisition unit that acquires a first template image which is a correction template image, a reference color acquisition unit that acquires a reference color corresponding to the person from the face image, a second template acquisition unit that generates a second template image using the first template image and the reference color, and a correction unit that composites the second template image with at least the region in the pupil region where the halation occurred to correct the halation.

Abstract: A face authentication device has a face image acquisition unit that continuously acquires face images of a user, a user identification unit that identifies the user based on a first face image acquired by the face image acquisition unit, a parameter acquisition unit that acquires a face parameter based on a second face image acquired by the face image acquisition unit, the face parameter being a parameter associated with a facial expression or a face direction of the user, a tracking unit that extracts a region of a part of a face included in the first face image, and to track the region between the plurality of continuously-acquired face images, and an authentication unit that makes a determination of successful authentication when the user identified by the user identification unit is a registered user, when the acquired face parameter satisfies a predetermined condition.

Abstract: An image processing apparatus configured to correct at least part of a face image has an image acquisition unit that acquires an input image, a region extraction unit that extracts a pupil region, which is a region corresponding to an eye of a person, from the input image, a pixel extraction unit that extracts a pixel from the pupil region whose brightness value is higher than a threshold value, a determination unit that determines, based on the result of extraction performed by the pixel extraction unit, whether or not halation has occurred in the pupil region, and a correction unit that performs, based on the result of determination performed by the determination unit, processing for correcting halation on the pupil region. The pixel extraction unit sets the threshold value based on a bias of a brightness distribution of the pixels included in the pupil region.

Abstract: A gesture recognition apparatus acquiring a gesture performed by an operator and generating an instruction corresponding to the gesture, the gesture recognition apparatus comprises an imaging unit configured to capture an image of a person who performs a gesture; a posture determining unit configured to generate posture information representing a posture of the person who performs a gesture in a space, based on the captured image; a gesture acquiring unit configured to acquire a motion of an object part that performs the gesture from the capture image and to identify the gesture; and an instruction generating unit configured to generate an instruction corresponding to the gesture, wherein the gesture acquiring unit corrects the acquired motion of the object part, based on the posture information.

Abstract: A monitoring device configured to monitor whether a look of a target person is in a proper state suitable for a working environment, and comprising: an image input unit configured to input an image of the target person; a detector configured to analyze the image input by the image input unit and detect a predetermined region of a human body of the target person; a state estimator configured to estimate a state of the predetermined region detected by the detector; a proper state acquisition unit configured to acquire proper state information on a proper state of the predetermined region according to the working environment; and a controller configured to determine whether a present state of the predetermined region of the target person is proper by comparing an estimation result of the state estimator to the proper state information, and perform control according to a determination result.