Abstract: A human detection device, which analyzes a fisheye image obtained by a fisheye camera installed above a detection target area to detect a person present in the detection target area, includes: a detector configured to detect a human body candidate and an object from a fisheye image; and an erroneous detection determination unit configured to determine whether or not the human body candidate has been erroneously detected based on a positional relationship between a detection position of the human body candidate and a detection position of the object present around the human body candidate.

Abstract: An information processing apparatus includes a detector that detects a movable object in a frame image of a video, a calculator that calculates a confidence of the detected movable object being a predetermined object, and a detection range determiner that determines a detection range for a first movable object detected in a first frame based on a confidence of the first movable object calculated with a range circumscribing the first movable object and on a confidence of the first movable object in the first frame calculated with a detection range for a second movable object detected in a second frame preceding the first frame and records the determined detection range into a recorder.

Abstract: An object tracking device includes a storage unit that stores in advance a reference for a movement amount of an object between frames for each position or area on a fisheye image, a determining unit that determines, based on a position of the object in a first frame image and the reference for a movement amount associated with the position of the object in the first frame image, a position of a search area in a second frame image subsequent to the first frame image, and a search unit that searches the search area in the second frame image for the object to specify a position of the object in the second frame image.

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 image processing apparatus includes an image obtainer that obtains a moving image including an operation area captured with an image sensor, an image generator that generates an image of a face region of a worker performing an operation in the operation area based on the moving image, a statistical information generator that generates statistical information for the operation performed by the worker based on the moving image, a data generator that generates data including the generated image of the face of the worker linked to the generated statistical information for the operation performed by the worker, and an output unit that outputs the generated data.

Abstract: A human body detection device detects a human body from a captured image; determines, based on the image, whether the human body detected is a moving body; determines whether the human body detected satisfies a predetermined condition shown by a human body framed in the image; maintains a first mode until the predetermined condition is determined to be satisfied; switches from the first mode to a second mode in response to determination that the predetermined condition is satisfied; outputs information on a human body when the human body detected is determined to be a moving body in the first mode; and outputs information on the human body regardless of whether the human body detected is determined to be a moving body in the second mode.

Abstract: An information processing device that determines a monitoring target range of a predetermined place includes an acquisition unit configured to acquire information on a line drawn by a user with respect to image data in which the predetermined place is imaged, and a determination unit configured to determine a range indicated by an area on the line as the monitoring target range, a thickness of the line being increased.

Abstract: A work analysis device configured to analyze a work step that includes a plurality of processes, the work analysis device including: a reception unit configured to receive a captured image of a work area; a detector unit configured to parse the captured image and detecting the position and orientation of a worker working in the work area; a determination unit configured to determine the process being performed by the worker on the basis of the position and orientation of the worker; and a generation unit configured to measure a work time for each of the processes and generating a time chart representing the processes in the work step performed by the worker.

Abstract: A human detection device, which analyzes a fisheye image obtained by a fisheye camera installed above a detection target area to detect a person present in the detection target area, includes: a detector configured to detect a human body candidate and an object from a fisheye image; and an erroneous detection determination unit configured to determine whether or not the human body candidate has been erroneously detected based on a positional relationship between a detection position of the human body candidate and a detection position of the object present around the human body candidate.

Abstract: An object tracking device includes a storage unit that stores in advance a reference for a movement amount of an object between frames for each position or area on a fisheye image, a determining unit that determines, based on a position of the object in a first frame image and the reference for a movement amount associated with the position of the object in the first frame image, a position of a search area in a second frame image subsequent to the first frame image, and a search unit that searches the search area in the second frame image for the object to specify a position of the object in the second frame image.

Abstract: An image search device receives an image search request and selects, from a plurality of images, a first group of images that match search conditions based on the search request. The image search device further selects, from the first group of images, a second group of images based on a score calculated by a predetermined evaluation formula, and outputs information about the second group of images as a search result. The predetermined evaluation criteria may be set so as to increase the score for an image in the first group of images based on positive engagement by many people on the predetermined internet service and based on the extent that the image is less similar to other images in the first group of images.

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: An image search device receives an image search request from a user, selects from a plurality of images a first group of images that match search conditions based on the search request, selects from the first group of images a second group of images based on a score calculated by a predetermined evaluation formula, and outputs information about the second group of images as a search result. The disclosed and recited embodiments may increase the score for an image in the first group of images to the extent of positive engagement by many people on the predetermined internet service and increase the score to the extent that the image is less similar to other images in the first group of images.

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 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.