Fujitsu Corporation

Yuji Matsuda

Yusuke Uehara

Kentaro Tsuji

Mingxie Zheng

Nobuhiro Miyazaki

Akihiro Minagawa

Eigo Segawa

Takayuki Baba

Susumu Endo

Masaki Ishihara

Masahiko Sugimura

An image processing apparatus includes a memory and a processor coupled to the memory. The processor is configured to classify each of a plurality of images into one of a plurality of groups based on a feature of each of the plurality of images. The processor is configured to store first information in the memory. A first recognition method is associated with a first group in the first information and images classified into the first group are correctly recognized by the first recognition method. The processor is configured to store second information in the memory. One of at least one second recognition method different from the first recognition method is associated with a second group in the second information and images classified into the second group are incorrectly recognized by the first recognition method.

Image processing apparatus and image recognition apparatus

An apparatus includes a memory configured to store training data used for automatically sorting objects. The apparatus acquires a first captured-image that is captured at a first timing before an object-sorting work for sorting objects is performed, and a second captured-image that is captured at a second timing after the object-sorting work has been performed, and extracts, from each of the first captured-image and the second captured-image, a feature amount of an object-image that is an image of an object included in each of the first captured-image and the second captured-image. The apparatus stores, in the memory, as the training data, a first feature amount corresponding to a first object whose object-image is included in both the first captured image and the second captured image, or a second feature amount corresponding to a second object whose object-image is included in only one of the first captured-image and the second captured-image.

Generation of training data for object-sorting work based on a difference between feature amounts of captured object images

A device that determines whether a first person extracted from a first image is identified with a second person extracted from a second image, includes a processor configured to extract a first feature value of a contour portion of the first person, from the first image, extract a second feature value of a contour portion of the second person, from the second image, and determine whether the first person is identified with the second person, based on comparison processing in which a first effect on a first comparison result of the first feature value and the second feature value becomes greater than a second effect on a second comparison result of a third feature value of a portion further from a contour than the contour portion of the first person and a fourth feature value of a portion further from the contour than the contour portion of the second person.

Determination device and determination method of persons included in imaging data

An apparatus for identifying a candidate area in a first image corresponding to an object in a second image, includes a memory and a processor to divide the plurality of candidate areas into a plurality of small candidate areas, divide an image area of the object into a plurality of small areas, perform first comparison processing for a first part, when there is a first candidate area lacking image information of the small candidate area corresponding to the first part, perform second comparison processing for a second part, predict missing result on the small candidate area corresponding to the first part in the first candidate area based on a result of the first comparison processing on a candidate area other than the first candidate area, and a result of the second comparison processing on the plurality of candidate areas, and identify the candidate area based on a prediction.

Image processing apparatus and image processing method for person identification

An image processing method for tracking an object, the method includes: specifying a first range in which a first target is searched for and a second range in which a second target is searched for in a next frame by referring to a storage device that stores past frames captured by a capturing device; changing the first range and/or the second range in the next frame such that an area in which the first range and the second range specified in the next frame overlap each other is less than a predetermined value in a case where the overlapping area is equal to or greater than the predetermined value; and searching for, in the changed first range and the changed second range, and specifying a region corresponding to the first target and a region corresponding to the second target in the next frame.

Image processing method, image processing apparatus and medium storing image processing program

A search system includes circuitry configured to detect an first object to be a search target, from information of an image that is captured by an imaging device, determine a parameter in consideration of how the first object is viewed in the image, in accordance with a height at which the imaging device is installed, a depression angle of the imaging device, and a distance from the imaging device to the first object, divide an image region corresponding to the first object into at least two image regions based on a dividing ratio that is obtained by correcting a predetermined ratio in accordance with the parameter, and specify a second object in another image based on feature information of each of the at least two image regions, the second object corresponding to the first object in the image.

Search method and system

Image processing apparatus and image processing method

A non-transitory computer-readable storage medium storing an image processing device that causes a computer to execute a process includes: individually detecting, as a detection target candidate, a first portion of each of detection targets that appear in an image imaged by an imaging device, by using a first detection area corresponding to the first portion; detecting a detection target for a detection target candidate corresponding to a detection target that is not covered by another detection target and that is included in the detected detection target candidates, by using a second detection area corresponding to a second portion including the first portion; and detecting a detection target for a detection target candidate corresponding to a detection target, covered by another detection target and included in the detected detection target candidates, by using a third detection area that corresponds to a third portion including the first portion.

Computer-readable medium storing therein image processing program, image processing device, and image processing method

An image processing apparatus receives an input specifying a target in a first captured image group that is obtained by slicing a three-dimensional body into captured images at a first point in time, extracts feature points surrounding the specified target from the captured images of the first captured image group, specifies slice positions of each of the feature points that are extracted in captured images of a second captured image group that is obtained by slicing the three-dimensional body into the captured images at a second point in time, and outputs an image corresponding to a slice position range specified based on the specified slice positions of each of the extracted feature points, and corresponding to a range on a first plane specified based on positions of each of the extracted feature points on a second plane.

An image display apparatus includes a display device and a computer configured to execute a program to cause the computer to serve as a display controlling part. The display part displays a first CT image and a second CT image simultaneously. The first CT image and the second CT image represent the same object but taken in different time periods. The display controlling part performs: displaying the first and second CT images simultaneously on the display device according to a first display mode; determining a target portion designated in the first CT image; and changing a display mode of a corresponding portion of the second CT image from the first display mode into a second display mode, the corresponding portion corresponding to the target portion designated in the first CT image.

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Kawasaki, Japan

Yuji Matsuda