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: 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 emotion determination device includes a first estimator that estimates an emotion of a user based on a change in a facial expression of the user detected from a face image of the user, a second estimator that estimates the emotion of the user based on a change in a temperature of the user detected contactlessly from the user, and a determiner that determines the emotion of the user based on an estimation result obtained by the first estimator and an estimation result obtained by the second estimator.

Abstract: An image processing apparatus includes an image obtainer that obtains captured images captured with a camera in a time series, an accumulator that accumulates movement information about a moving object in the captured images in the time series, a calculator that calculates movement information about the moving object based on the captured images in the time series obtained by the image obtainer, a comparator that compares the movement information about the moving object calculated by the calculator with the movement information about the moving object accumulated by the accumulator, a determiner that determines, based on a result of comparison of the movement information about the moving object performed by the comparator, whether the moving object being a target for the comparison performed by the comparator shows abnormal movement, and an output unit that outputs a result of determination performed by the determiner.

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.