Abstract: An information processing method for a computer to execute a process includes searching for a first parameter for searching for a solution by using an evaluation function included in an Ising model; acquiring an evaluation value of the first parameter based on an energy value of the evaluation function and a time period to reach the energy value; determining a number of iterations for determining that the searching the first parameter converges based on at least one selected from a best evaluation value after the searching the first parameter for a certain number of iterations, a number of bits included in the evaluation function, a type of a constraint, and a number of the constraint; and when the best evaluation value is not updated during the searching for the first parameter for the number of iterations, determining a second parameter which leads to the best evaluation value.

Abstract: An apparatus of searching for a parameter used in an energy function of an Ising model that corresponds to a problem, the apparatus being configured to obtain information that indicates the energy function; performing a first processing a plurality of times, the first processing including obtaining a first candidate value from a first range, the first range being a candidate value range of the parameter to be used for a search for a solution of the problem based on the energy function, and evaluating the first candidate value according to a result of the search in a case where the first candidate value is used as a value of the parameter; changing the candidate value range from the first range to a second range narrower than the first range; performing a second processing a plurality of times, the second processing including obtaining a second candidate value from the second range.

Abstract: A method includes: executing acquisition processing that includes acquiring an image frame captured by an imaging apparatus; executing a determination processing that includes determining whether a head region is included in the acquired image frame; executing calculation processing that includes calculating a first amount of change in time series of the head region by using a position of the head region in the image frame and a position of the head region in another image frame following the image frame; executing determination processing that includes determining a threshold to be compared with the first amount of change based on a frequency distribution of amounts of change in time series of the head region in a past image frame group prior to the acquired image frame; and executing evaluation processing that includes evaluating the first amount of change by comparing the determined threshold and the first amount of change.

Abstract: An apparatus for motion determination includes: a memory; and a processor coupled to the memory, the processor being configured to (a) execute a specifying process that includes specifying an orientation of a head portion of a subject, (b) execute a calculation process that includes calculating a trajectory of a position of the head portion of the subject in a vertical direction and a trajectory of the position of the head portion of the subject in a transverse direction in a predetermined time range, and (c) execute a determination process that includes when the calculated trajectory in the vertical direction and the calculated trajectory in the transverse direction satisfy a determination condition for the specified orientation of the head portion, determining that there is a predetermined motion mapped to a motion of the head portion of the subject in the vertical direction.

Abstract: An optimization apparatus includes a search unit configured to perform a search for solutions by using a first method by which a value of an objective function including constraints is probabilistically improved, and a generation unit configured to generate a first state that is at more than a predetermined distance from previous solutions obtained by the search unit, and to obtain a local solution by use of a second method by which state transitions starting from the first state are performed such as to satisfy the constraints and to improve the value of the objective function with a higher probability than by the first method, followed by outputting the local solution as an initial state, wherein a process of the generation unit outputting the initial state and a process of the search unit performing the search for solutions based on the first method from the initial state are iteratively performed.

Abstract: A method for estimating body orientation includes: executing extraction processing for extracting a person region from images; executing an identification processing for identifying a left site and a right site in the person region; executing calculation processing for calculating a left moving amount and a right moving amount; and executing estimation processing for estimating body orientation in the person region based on a first difference and relation information, the first difference being a difference between the left moving amount and the right moving amount, the relation information including first and second relation information, the first relation information indicating a relationship between the first difference and a change amount when the left moving amount is larger than the right moving amount, and the second relation information indicating a relationship between the first difference and the change amount when the right moving amount is larger than the left moving amount.

Abstract: An information processing apparatus includes a memory, and a processor coupled to the memory and configured to obtain a plurality of images of a subject captured at different timings, detect a feature point of the subject from each of the plurality of images, identify a movement locus of the feature point between the plurality of images, identify a center position of a circle having the movement locus as an arc, and determine a posture of the subject based on the identified center position.

Abstract: An information processing apparatus including a memory, and a processor coupled to the memory and the processor configured to execute a process, the process including extracting a moving object area corresponding to a moving object included in a plurality of frames in a moving image based on a result of a comparison between the plurality of frames with each other, tracking a position of the moving object area among the plurality of frames, determining, for each of the plurality of frames, an image area excluding the moving object area to be a background area whose position moves more than a defined period of time, and updating a background image of the moving image based on a result of the determining.

Abstract: A method includes extracting a plurality of feature points from a first image and a second image of an image-capture target, acquiring, from the second image, for each of the plurality of feature points in the first image, a set of points having a correlation with the feature point, identifying, for each of the plurality of feature points in the second image, a position of a center of gravity of the set of points, and determining an amount of movement of the image-capture target by performing weighting processing, the weighting processing being performed on each of amounts of displacements and a number of points in the set of points acquired for each of the plurality of feature points, each of the amounts of displacements being a displacement from a position of each of the plurality of feature points in the first image to the position of the center of gravity.

Abstract: An apparatus for motion determination includes: a memory; and a processor coupled to the memory, the processor being configured to (a) execute a specifying process that includes specifying an orientation of a head portion of a subject, (b) execute a calculation process that includes calculating a trajectory of a position of the head portion of the subject in a vertical direction and a trajectory of the position of the head portion of the subject in a transverse direction in a predetermined time range, and (c) execute a determination process that includes when the calculated trajectory in the vertical direction and the calculated trajectory in the transverse direction satisfy a determination condition for the specified orientation of the head portion, determining that there is a predetermined motion mapped to a motion of the head portion of the subject in the vertical direction.

Abstract: A method for estimating body orientation includes: executing extraction processing for extracting a person region from images; executing an identification processing for identifying a left site and a right site in the person region; executing calculation processing for calculating a left moving amount and a right moving amount; and executing estimation processing for estimating body orientation in the person region based on a first difference and relation information, the first difference being a difference between the left moving amount and the right moving amount, the relation information including first and second relation information, the first relation information indicating a relationship between the first difference and a change amount when the left moving amount is larger than the right moving amount, and the second relation information indicating a relationship between the first difference and the change amount when the right moving amount is larger than the left moving amount.

Abstract: A method includes: executing acquisition processing that includes acquiring an image frame captured by an imaging apparatus; executing a determination processing that includes determining whether a head region is included in the acquired image frame; executing calculation processing that includes calculating a first amount of change in time series of the head region by using a position of the head region in the image frame and a position of the head region in another image frame following the image frame; executing determination processing that includes determining a threshold to be compared with the first amount of change based on a frequency distribution of amounts of change in time series of the head region in a past image frame group prior to the acquired image frame; and executing evaluation processing that includes evaluating the first amount of change by comparing the determined threshold and the first amount of change.

Abstract: An information processing apparatus including a memory, and a processor coupled to the memory and the processor configured to execute a process, the process including extracting a moving object area corresponding to a moving object included in a plurality of frames in a moving image based on a result of a comparison between the plurality of frames with each other, tracking a position of the moving object area among the plurality of frames, determining, for each of the plurality of frames, an image area excluding the moving object area to be a background area whose position moves more than a defined period of time, and updating a background image of the moving image based on a result of the determining.

Abstract: An information processing apparatus includes a memory, and a processor coupled to the memory and configured to obtain a plurality of images of a subject captured at different timings, detect a feature point of the subject from each of the plurality of images, identify a movement locus of the feature point between the plurality of images, identify a center position of a circle having the movement locus as an arc, and determine a posture of the subject based on the identified center position.

Abstract: A method includes extracting a plurality of feature points from a first image and a second image of an image-capture target, acquiring, from the second image, for each of the plurality of feature points in the first image, a set of points having a correlation with the feature point, identifying, for each of the plurality of feature points in the second image, a position of a center of gravity of the set of points, and determining an amount of movement of the image-capture target by performing weighting processing, the weighting processing being performed on each of amounts of displacements and a number of points in the set of points acquired for each of the plurality of feature points, each of the amounts of displacements being a displacement from a position of each of the plurality of feature points in the first image to the position of the center of gravity.

Abstract: A method of detecting constriction of the pupils includes: registering one or more motion illusion pattern images or one or more luminance values of the one or more motion illusion pattern images, the one or more motion illusion pattern images including a first motion illusion pattern image which had caused motion illusion to a specific user; displaying the registered one or more motion illusion pattern images or one or more motion illusion pattern images created based on the registered one or more luminance values on a display device; and determining whether the motion illusion is occurred to the specific user based on the displaying.

Abstract: A display displays a composite image including element pixels. Each element pixel is formed by arranging, in a direction, pixels respectively extracted from images having different viewpoints. A first optical element includes lenses arrayed in the direction to correspond to the element pixels and emits in parallel light rays emitted from pixels respectively included in the element pixels, for a particular image. A second optical element condenses the light rays. An output circuit selects a pixel of the particular image which is included in a particular element pixel and outputs its pixel value to the display. At this time, a pixel more distant from an optical axis of the second optical element along the direction in the particular image is selected as a distance between the first and second optical elements becomes smaller than a focal length of the second optical element.

Abstract: A device disposed on a display surface side of an apparatus having pixels arranged in a matrix, each pixel having sub-pixels arranged in a first axis direction includes: a light-blocking unit disposed on the surface, the light-blocking unit including M×N apertures for each pixel; a first lens disposed on the side, of the light-blocking unit, opposite to the surface, the first lens including first lens part(s) arranged in a stripe pattern within a width of each pixel in the second axis direction; and a second lens disposed on the side, of the first lens, opposite to the light-blocking unit or between the light-blocking unit and the first lens, the second lens including second lens parts arranged in a stripe pattern within the width of each pixel in the first axis direction at a pitch by dividing a pitch of the first lens part in the second axis direction.

Abstract: A head-mountable video image display device includes: a display to be placed in a visual field of one of eyes; and a processor coupled to the display and configured to: control the display to display a video image including display information to be gazed by a user, and control the display to display, on the video image, a still image pattern having high and low luminance values and inducing motion illusion.

Abstract: A stereoscopic image generating device includes: a correction parameter calculating unit that calculates correction parameters based on a plurality of pairs of feature points corresponding to the same points on the object, from the first image and a second image photographing the object; a correction error calculating unit that, for each pair of feature points, corrects the position of the feature point on at least one image, using the correction parameters, and calculates the amount of correction error; a maldistribution degree calculating unit that finds the degree of maldistribution of feature points; a threshold value determining unit that determines a threshold value such that the threshold value is smaller when the degree of maldistribution increases; and a correction unit that, when the amount of correction error is equal to or lower than the threshold value, corrects the position of the object in the images using the correction parameters.