Abstract: A difference detection device includes a difference detection unit configured to, based on association among a first image and a second image captured at different times and illustrating a substantially identical space and encoding information of each of the first image and the second image, detect difference between a third image and a fourth image captured at different times and illustrating a substantially identical space, and the encoding information is information acquired from data including the first image encoded and data including the second image encoded, before inverse transform processing is executed in decoding processing executed on each of the first image and the second image.

Abstract: An image evaluation device includes a determination result acquisition unit acquires a result of determining the presence or absence of a difference between an object image that is one of a plurality of images that include three or more images obtained by imaging substantially the same spatial region and each of reference images that are images other than the object image among the plurality of images and an evaluation index acquisition unit configured to acquire an evaluation index for the plurality of images on the basis of at least one of the number of determinations of the presence of the difference between the object image and each reference image and the number of determinations of the absence of the difference between the object image and each reference image.

Abstract: A learning data generation device of an embodiment includes a detection unit that detects a changed region in a space between a first map and a second map based on first map data which indicate the first map and second map data which indicate the second map which indicates a substantially same space as the first map and represents the space at a different time point from the first map and a changed region image acquisition unit that acquires images which correspond to the changed region detected by the detection unit from a first image in which the space represented by the first map is captured and a second image in which the space represented by the second map is captured.

Abstract: The present invention makes it possible to cause an action recognizer capable of recognizing actions with high accuracy and with a small quantity of learning data to learn. An input unit 101 receives input of a learning video and an action label indicating an action of an object, a detection unit 102 detects a plurality of objects included in each frame image included in the learning video, a direction calculation unit 103 calculates a direction of a reference object, which is an object to be used as a reference among the plurality of detected objects, a normalization unit 104 normalizes the learning video so that a positional relationship between the reference object and another object becomes a predetermined relationship, and an optimization unit 106 optimizes parameters of an action recognizer to estimate the action of the object in the inputted video based on the action estimated by inputting the normalized learning video to the action recognizer and the action indicated by the action label.

Abstract: An image processing device includes an image processing unit configured to execute image processing on an image based on an input image and output a result of the image processing, the input image is a post-conversion image obtained by performing image conversion on an original image, and the conversion includes image conversion for further decreasing a data size of the original image while maintaining a feature quantity used in the image processing and processing accuracy of the image processing.

Abstract: An abnormality determination device includes: an analysis unit that analyzes at least a feature amount related to a pattern of a captured image of a manhole cover, the feature amount being included in coded information obtained by coding the captured image; and a determination unit that determines based on an analysis result of the analysis unit whether the manhole cover is abnormal.

Abstract: A position determination apparatus for determining, from a first image that is an image including at least a desired first subject, a position of the desired first subject, includes: a feature amount acquisition unit that acquires a first feature amount representing a predetermined feature of the first image; an estimation unit in which a second feature amount representing the predetermined feature obtained from a second image including a second subject is associated with a selected feature map that is a feature map corresponding to the second subject among a plurality of feature maps that are a set of feature maps that are maps representing features of the second image; an estimated first feature map that is estimated by the estimation unit to be associated with the first feature amount: and a position determination unit that determines the position of the desired first subject using the estimated first feature map.

Abstract: An image processing device includes an image processing unit configured to execute image processing on an image based on an input image, and output a result of the image processing. The input image is a post-conversion image obtained by performing image conversion on an original image. The image conversion includes image conversion for further reducing a data size of the original image while maintaining a feature acquired from the original image and related to an object similar to a subject captured in the original image and maintaining processing accuracy of the image processing.

Abstract: An image difference determination device includes a determination result acquisition unit configured to acquire a result of determining whether or not there is a difference between time-series images when there are at least three time-series images and a speed determination unit configured to determine that the difference between the time-series images is caused by a change of a prescribed speed or less when it is determined that there is a difference between images at both ends of a time series in which it is determined that there is no difference between images adjacent in the time series.

Abstract: A difference detection apparatus includes: an acquisition unit configured to acquire a difference level indicating a level of a difference between a first image that is an image of a first spatial region and a second image that is an image of a second spatial region located at a substantially same position as the first spatial region, first probability data indicating a probability that a target object is present in the first spatial region, and second probability data indicating a probability that the target object is present in the second spatial region; and a detection unit configured to associate the difference level, the first probability data, and the second probability data, and detect, based on a result of the association, a region where a difference occurs between the first image and the second image.

Abstract: An image processing device includes an image processing unit configured to execute image processing on an image based on an input image and output a result of the image processing, the input image is a post-conversion image obtained by performing image conversion on an original image, and the conversion includes image conversion for further decreasing a data size of the original image while maintaining a feature quantity used in the image processing and processing accuracy of the image processing.

Abstract: A difference detection device includes a difference detection unit configured to, based on association among a first image and a second image captured at different times and illustrating a substantially identical space and encoding information of each of the first image and the second image, detect difference between a third image and a fourth image captured at different times and illustrating a substantially identical space, and the encoding information is information acquired from data including the first image encoded and data including the second image encoded, before inverse transform processing is executed in decoding processing executed on each of the first image and the second image.

Abstract: An image evaluation device includes a determination result acquisition unit acquires a result of determining the presence or absence of a difference between an object image that is one of a plurality of images that include three or more images obtained by imaging substantially the same spatial region and each of reference images that are images other than the object image among the plurality of images and an evaluation index acquisition unit configured to acquire an evaluation index for the plurality of images on the basis of at least one of the number of determinations of the presence of the difference between the object image and each reference image and the number of determinations of the absence of the difference between the object image and each reference image.

Abstract: An image evaluation device includes a determination result acquisition unit acquires a result of determining the presence or absence of a difference between an object image that is one of a plurality of images that include three or more images obtained by imaging substantially the same spatial region and each of reference images that are images other than the object image among the plurality of images and an evaluation index acquisition unit configured to acquire an evaluation index for the plurality of images on the basis of at least one of the number of determinations of the presence of the difference between the object image and each reference image and the number of determinations of the absence of the difference between the object image and each reference image.

Abstract: A learning data generation device of an embodiment includes a detection unit that detects a changed region in a space between a first map and a second map based on first map data which indicate the first map and second map data which indicate the second map which indicates a substantially same space as the first map and represents the space at a different time point from the first map and a changed region image acquisition unit that acquires images which correspond to the changed region detected by the detection unit from a first image in which the space represented by the first map is captured and a second image in which the space represented by the second map is captured.

Abstract: An abnormality determination device includes: an analysis unit that analyzes at least a feature amount related to a pattern of a captured image of a manhole cover, the feature amount being included in coded information obtained by coding the captured image; and a determination unit that determines based on an analysis result of the analysis unit whether the manhole cover is abnormal.

Abstract: A position determination apparatus for determining, from a first image that is an image including at least a desired first subject, a position of the desired first subject, includes: a feature amount acquisition unit that acquires a first feature amount representing a predetermined feature of the first image; an estimation unit in which a second feature amount representing the predetermined feature obtained from a second image including a second subject is associated with a selected feature map that is a feature map corresponding to the second subject among a plurality of feature maps that are a set of feature maps that are maps representing features of the second image; an estimated first feature map that is estimated by the estimation unit to be associated with the first feature amount: and a position determination unit that determines the position of the desired first subject using the estimated first feature map.

Abstract: An image difference detection device includes a detection unit configured to detect presence or absence of a difference between a first region within a first image and a second region corresponding to the first region within a second image on the basis of one or both of a code amount of each of encoded blocks in first and second encoded data obtained by encoding the first image and the second image and an index value obtained from encoding information of each of the encoded blocks.

Abstract: An image difference determination device includes a determination result acquisition unit configured to acquire a result of determining whether or not there is a difference between time-series images when there are at least three time-series images and a speed determination unit configured to determine that the difference between the time-series images is caused by a change of a prescribed speed or less when it is determined that there is a difference between images at both ends of a time series in which it is determined that there is no difference between images adjacent in the time series.

Abstract: An image evaluation device includes a determination result acquisition unit acquires a result of determining the presence or absence of a difference between an object image that is one of a plurality of images that include three or more images obtained by imaging substantially the same spatial region and each of reference images that are images other than the object image among the plurality of images and an evaluation index acquisition unit configured to acquire an evaluation index for the plurality of images on the basis of at least one of the number of determinations of the presence of the difference between the object image and each reference image and the number of determinations of the absence of the difference between the object image and each reference image.