Canon Kabushiki Kaisha

Fujitsu Corporation

Yasuo Bamba

Kotaro Yano

Hajime Muta

Hiroyuki Uchiyama

Kazunori Yamanaka

Iwao Okamoto

Keiji Adachi

Wataru Yamagishi

Toshimizu Yamane

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.

Image processing apparatus, method for controlling the same, and storage medium

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.

Image processing apparatus, learning method, and storage medium

An image processing apparatus is configured to acquire a query image including a subject that is a search target, and an image to be searched, extract a first feature vector that represents features of the search target included in the query image, extract a feature vector map that represents feature vectors of a subject at each position of the image to be searched, perform an arithmetic operation based on the first feature vector and the feature vector map to obtain a heat map that represents the likelihood that the search target is present.

Image processing apparatus for search of an image, image processing method and storage medium

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.

Image processing apparatus, image processing method, and non-transitory computer-readable medium

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.

Image processing apparatus, image processing method, and storage medium for determining a number of persons in an input image

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.

Image analysis apparatus, image analysis method, and storage medium to display information representing flow quantity

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.

Image processing apparatus, image processing method, and non-transitory computer-readable storage medium

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.

People flow analysis apparatus, people flow analysis method, and storage medium

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.

Image processing apparatus, image processing method, and computer-readable medium

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.

Image processing apparatus and image processing method for image analysis process

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.

Information processing apparatus, information processing method, and computer-readable storage medium, for estimating state of objects

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.

People flow analysis apparatus, people flow analysis system, people flow analysis method, and non-transitory computer readable medium

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.

Apparatus and method for analyzing people flows in image

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.

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Kawasaki, Japan

Yasuo Bamba