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 image processing apparatus comprises a setting unit configured to set, based on a detection line that is set in a display screen, a patch region in the display screen, the patch region including a detection region serving as a region for detecting a position of an object, and a counting region encompassed by the detection region, and a counting unit configured to count, from among intersection points between a movement vector in the detection region of an object moving inside the display screen or a locus based on the movement vector and the detection line in the detection region, intersection points located in the counting region.

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 method includes acquiring a first image that represents an object, a second image that represents the object and is different from the first image in imaging condition, and identification information for identifying the object; extracting a feature amount from the second image by using an extractor; classifying the object by using the feature amount and a classifier; restoring by generating a restored image close to the first image from the second image, using the feature amount and a generator; and training the extractor and the generator such that values corresponding to a first difference between a result of classification of the object and the identification information and a second difference between the restored image and the first image become small.

Abstract: An image processing apparatus includes an obtaining unit, a division unit, a conversion unit, an addition unit, an encoding unit, an extraction unit, and a determination unit. The obtaining unit obtains an image including an object. The division unit divides the obtained image into a plurality of partial images. The conversion unit converts the plurality of partial images into tokens being vectors having a fixed dimension. The addition unit adds a class token, which has the fixed dimension corresponding to the tokens, to a sequence of the tokens. The encoding unit updates the sequence of tokens to which the class token is added based on relevance between the tokens. The extraction unit extracts a feature amount of the object using the updated class token. The determination unit determines an attribute of the object using the updated class token.

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: An image processing apparatus includes a first detection unit configured to detect a person in an input image, a second detection unit configured to detect a specific object in the input image, a specification unit configured to specify a combination of the detected person and the detected object indicating an identical person, and a determination unit configured to determine a number of person in the input image, based on the detected person, the detected object, and the specified combination.

Abstract: There is provided with an image processing apparatus for measuring a flow of a measurement target based on a video. A detection line indicating a position at which the flow of the measurement target in the video is measured is set. From each of a plurality of images in the video, a plurality of partial images set in a vicinity of the detection line are extracted. The flow of the measurement target passing the detection line is measured using the partial images.

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 comprises a setting unit configured to set, based on a detection line that is set in a display screen, a patch region in the display screen, the patch region including a detection region serving as a region for detecting a position of an object, and a counting region encompassed by the detection region, and a counting unit configured to count, from among intersection points between a movement vector in the detection region of an object moving inside the display screen or a locus based on the movement vector and the detection line in the detection region, intersection points located in the counting region.

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.

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 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: There is provided with an image processing apparatus, for example for image recognition such as object counting with machine learning. A generation unit, based on a first captured image, generates a first training data that indicates a first training image and an image recognition result for the first training image. A training unit, by performing training using the first training data, generates a discriminator for image recognition based on both the first training data and second training data that is prepared in advance and that indicates a second training image and an image recognition result for the second training image.