Abstract: An image processing apparatus includes an acquisition unit, a setting unit, and a display unit. The acquisition unit is configured to acquire captured time-series images. The setting unit is configured to set a direction of measuring a flow quantity of targets in the time-series images. The display unit is configured to display information representing the flow quantity of the targets that is estimated based on a plurality of images acquired from the time-series images and the direction of measuring the flow quantity, together with information indicating the direction of measuring the flow quantity.

Abstract: An information processing apparatus as one aspect of the present invention detects a predetermined behavior of a person, specifies first tracking information of a first person for which the predetermined behavior has been detected and second tracking information of a second person for which it is estimated that replacement has occurred during movement of the first person, generates third tracking information based on the first tracking information and the second tracking information, and determines whether or not the first person satisfies a predetermined condition based on a detection result of the predetermined behavior corresponding to the third tracking information.

Abstract: According to the present invention, switching of the monitoring images matching the intention of the observer can be automatically performed for images from a plurality of image capturing apparatus, and the load about the job of the observer can be reduced. The image monitoring apparatus includes an estimating unit configured to estimate attention degrees of a user for a plurality of images acquired from the plurality of image capturing apparatuses, a designating unit configured to designate one of the acquired images as an image to be displayed in accordance with an instruction from the user, a learning unit configured to cause the estimating unit to learn so as to increase an attention degree of the designated image, and a selecting unit configured to select one of the plurality of images based on an attention degree of each estimated image.

Abstract: An image processing apparatus includes a measurement area setting unit that sets a measurement area in an input image, a small image setting unit that sets a small image in the input image based on the measurement area, a first estimation unit that estimates a flow distribution of a target in the small image, and a second estimation unit that estimates the number of targets to pass through the measurement area based on the flow distribution in the small image.

Abstract: There is provided with an image processing apparatus. An obtaining unit obtains a moving image including a plurality of images. A density estimating unit estimates a density distribution of a target object based on an image of the plurality of images. A position estimating unit estimates a position of the target object in the image based on the density distribution. A measuring unit measures a flow of the target object from positions of the target object in the plurality of images.

Abstract: An image processing apparatus comprises: an image input unit configured to input an image; a detection unit configured to detect an object from the image; an accepting unit configured to accept an input of a locus to the image, a selection unit configured to select, based on a locus region decided by the locus, at least two objects included in a plurality of objects detected by the detection unit; and an integration unit configured to generate an integration region that integrates at least two regions in the image corresponding to the at least two objects selected by the selection unit and set the integration region as a region of interest in the image.

Abstract: An apparatus includes an extraction unit configured to extract an N-dimensional feature vector (N is an integer that is greater than M) in a second format including an M-dimensional feature vector (M is an integer of 2 or greater) in a first format from input data, and an identification unit configured to identify a target in the input data based on the feature vector in the first format and the feature vector in the second format.

Abstract: An image processing apparatus includes a measurement area setting unit that sets a measurement area in an input image, a small image setting unit that sets a small image in the input image based on the measurement area, a first estimation unit that estimates a flow distribution of a target in the small image, and a second estimation unit that estimates the number of targets to pass through the measurement area based on the flow distribution in the small image.

Abstract: An image processing apparatus including a determination unit configured to determine, for each of a plurality of partial areas set in an input image, a priority for executing a first image analysis process, based on an image of the partial area and a corresponding image corresponding to the partial area, the corresponding image being in a past image analyzed before the input image, a selection unit configured to select at least one of partial areas from the plurality of partial areas, based on the determined priority, and a first analysis unit configured to execute the first image analysis process on each of the at least one of partial areas selected.

Abstract: An image processing apparatus includes a measurement area setting unit that sets a measurement area in an input image, a small image setting unit that sets a small image in the input image based on the measurement area, a first estimation unit that estimates a flow distribution of a target in the small image, and a second estimation unit that estimates the number of targets to pass through the measurement area based on the flow distribution in the small image.

Abstract: An information processing apparatus includes a first estimation unit configured to estimate, for each of a plurality of images successive in time series, the number of objects existing in each of a plurality of set regions, and a second estimation unit configured to estimate a flow of the objects existing in each of the plurality of regions based on a result of the estimation for each of the plurality of images by the first estimation unit.

Abstract: A people flow analysis apparatus includes an acquisition unit configured to acquire positions of persons from each of a plurality of images captured by a plurality of image capturing devices, a counting unit configured to integrate the positions of the persons in each of the plurality of images and count the number of persons on a region-by-region basis, and a display unit configured to display on a map an image expression based on the number of persons counted on the region-by-region basis.

Abstract: An image processing apparatus includes an input image acquisition unit configured to acquire, as an input image, time-series images obtained by capturing a plurality of objects, a map acquisition unit configured to acquire an interaction map that indicates a difference between a first motion of a first object and a second motion of a second object at respective positions of each of the plurality of objects in the input image, by using the input image, and a state detection unit configured to detect a state of the first motion present in the input image using the interaction map, wherein the interaction map is estimated based on a trained model for estimating the interaction map and a parameter set prepared in advance.

Abstract: An information processing apparatus includes detecting a predetermined object from a captured image, identifying an attribute of the detected object, determining a presentation method of presented information representing the attribute based on a detection state of the detected object, displaying the presented information and the captured image based on the determined presentation method.

Abstract: According to the present invention, switching of the monitoring images matching the intention of the observer can be automatically performed for images from a plurality of image capturing apparatus, and the load about the job of the observer can be reduced. The image monitoring apparatus includes an estimating unit configured to estimate attention degrees of a user for a plurality of images acquired from the plurality of image capturing apparatuses, a designating unit configured to designate one of the acquired images as an image to be displayed in accordance with an instruction from the user, a learning unit configured to cause the estimating unit to learn so as to increase an attention degree of the designated image, and a selecting unit configured to select one of the plurality of images based on an attention degree of each estimated image.

Abstract: A likelihood of each of a plurality of registered images belonging to a same group for an input image is calculated, and a prescribed number of registered images is selected from a top ranking in descending order of likelihood among the plurality of registered images as the authentication result for the input image. Based on a likelihood of a registered image included in an authentication result for an input image of a first frame and a likelihood of a registered image included in an authentication result for an input image of a second frame being previous to the first frame, one of the authentication result for the input image of the first frame and the authentication result for the input image of the second frame is displayed.

Abstract: An image processing apparatus includes an image feature extraction unit configured to extract an image feature from an input image, a region extraction unit configured to extract a foreground region from the input image based on the image feature, an acquisition unit configured to acquire correction information based on the image feature, a correction unit configured to correct the foreground region using the correction information, an identification feature extraction unit configured to extract a feature for identification from the foreground region corrected by the correction unit, and an identification unit configured to identify an object in the input image based on the feature for the identification.

Abstract: According to the present invention, switching of the monitoring images matching the intention of the observer can be automatically performed for images from a plurality of image capturing apparatus, and the load about the job of the observer can be reduced. The image monitoring apparatus includes an estimating unit configured to estimate attention degrees of a user for a plurality of images acquired from the plurality of image capturing apparatuses, a designating unit configured to designate one of the acquired images as an image to be displayed in accordance with an instruction from the user, a learning unit configured to cause the estimating unit to learn so as to increase an attention degree of the designated image, and a selecting unit configured to select one of the plurality of images based on an attention degree of each estimated image.

Abstract: An image processing apparatus includes an acquisition unit configured to acquire a movement vector in a partial area of an image, the movement vector indicating a movement of people detected from the image, a generation unit configured to generate a cluster of movement in which a previously stored probability of occurrence of predetermined movement in the partial area is less than a predetermined threshold, based on a frequency of the acquired movement vector, and an output unit configured to output information indicating that the generated cluster is abnormal.

Abstract: There is provided with an image processing apparatus. An obtaining unit obtains a moving image including a plurality of images. A density estimating unit estimates a density distribution of a target object based on an image of the plurality of images. A position estimating unit estimates a position of the target object in the image based on the density distribution. A measuring unit measures a flow of the target object from positions of the target object in the plurality of images.