Fujitsu Corporation

Eigo Segawa

Morito Shiohara

Yuji Matsuda

Kentaro Tsuji

Yusuke Nonaka

Yutaka Katsuyama

Mingxie Zheng

Hiroshi Tanaka

Takashi Morihara

Nobuhiro Miyazaki

Kentarou Tsuji

A detection apparatus includes a memory and a processor coupled to the memory. The processor configured to determine a position of each of a plurality of partial images relative to the wide-angle image, to extract, from among the plurality of partial images, a pair of partial images that are consecutive in an image-capturing order, that do not have an overlapping portion, and at least one of which includes an image of a damaged portion, to detect a region of the outside of the partial image to which a damaged portion is estimated to be continuous, as an image-capturing omission candidate region, to determine the image-capturing omission candidate region as an image-capturing omission region, in a case where the image-capturing omission candidate region is included in none of the other partial images, and to issue, based on the position, a notification of a position corresponding to the image-capturing omission region.

Apparatus and method for damage detection and image capture of damage without omission

An information processing apparatus includes: a processor configured to: partition an image of a structure into regions; detect, for target regions each including crack points among the regions, a representative line segment representing the crack points included in each target region as a basic line segment for each target region; generate, based on basic line segments whose end points are close to each other among the detected basic line segments, a tree structure having an end point of a specific basic line segment as a root; and detect, among routes in the generated tree structure, routes from a top to a bottom of the tree structure corresponding to a basic line segment group in which values indicating degrees of coupling probability between the basic line segments are highest and a total length of the basic line segments coupled is longest, as a stroke corresponding to crack lines.

Information processing apparatus, crack line detection method, and recording medium recording program

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 non-transitory computer-readable storage medium having stored therein a program for verifying content, the program executing a process includes identifying, among a plurality of elements included in a content to be verified and displayed in two browsers that display the content respectively, a dynamic element whose attribute relating to display changes over time or whose element image changes over time in at least one of the two browsers; and identifying an area in which displayed content is different between the two browsers by comparing element images of the plurality of elements other than the dynamic element between the two browsers.

Content verification apparatus, method for verifying content, and non-transitory computer-readable storage medium

An image processing method causing an image processing device to execute a process including: obtaining a first image and a second image captured at different timings for an identical inspection target by passing through an imaging range of an image sensor row; extracting respective feature points of the first image and the second image; associating the feature points of the first image and the feature points of the second image with each other; estimating a conversion formula to convert the feature point of the second image to the feature point of the first image based on a restraint condition of a quadratic equation, in accordance with respective coordinates of three or more sets of the feature points associated between the first image and the second image; and converting the second image into a third image corresponding to the first image based on the estimated conversion formula.

Image processing device, method and program to align two images

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 method includes: extracting a first line segment pair including a combination of line segments selected from a plurality of line segments included in an image of a form to be recognized; calculating a first feature amount which represents a relationship between the line segments in the extracted first line segment pair; extracting a candidate for a form identifier of the form to be recognized based at least on the calculated first feature amount and a second feature amount in line segments in a second line segment pair correlated with a form identifier which is registered in advance; extracting corresponding line segment pairs which include a line segment correlated with the candidate for the form identifier and a line segment of the form to be recognized; and specifying the form identifier of the form to be recognized based at least on the degree of overlapping.

Form recognition method, form recognition device, and non-transitory computer-readable medium

An image processing method includes: identifying a dark region by binarizing an image captured using an imaging device; generating a line image of the dark region by thinning the dark region; identifying a first multiple pairs of pixels that are included in a pixel group forming the generated line image and are separated from each other by a predetermined threshold or more; calculating a first variance of gradients of lines connecting the respective pairs in the first plurality of pairs; identifying a second plurality of pairs of pixels that are included in the pixel group forming the generated line image and are separated from each other by values smaller than the predetermined threshold; calculating a second variance of gradients of lines connecting the respective pairs in the second plurality of pairs; and evaluating the dark region based on the first variance and the second variance.

Medium storing image processing program, image processing method, and image processing device

An apparatus for extracting image data of an object in an input image data. The apparatus includes a display device having a display screen for displaying a plurality of predetermined images; a display controller for controlling the display device to display one of the predetermined images; an imaging device for taking an image of an object placed before the display screen in order to generate an input image data; a controller for controlling the imaging device to take an image of the object and the display screen when the display device displays one of the predetermined images in cooperation with the display controller; and an extractor for extracting image data of the object by comparing the input image data generated by imaging device with data of the one of the plurality of the predetermined images.

Apparatus and method for extracting object image

A suspicious person detection device is provided with a person detection section capable of detecting the position of persons for each of the persons, a person tracing section for continuously tracing the position of a person detected by the person detection section, and a suspicious person detection section for detecting a suspicious person according to the result of the trace of the person tracing section, wherein the person tracing section determines a person authenticated as a result of the agreement with a predetermined first condition as an authenticated person and determines a person who has agreed with a predetermined second condition associated with the authenticated person as an accompanying person at the time of the authentication, and wherein the suspicious person detection section issues a warning when the accompanying person is away from the authenticated person by a predetermined first distance or more.

Suspicious person detection device, suspicious person detection method and suspicious person detection program

An authentication apparatus includes a registration unit that registers authentication information representing a check target, a first authentication unit that authenticates the check target at the entrance of the check target to a first area, a second authentication unit that authenticates the check target at the entrance of the check target to a second area after being authenticated by the first authentication unit, and a detector that detects a check target present in a detection area and expected to be authenticated by the second authentication unit. The second authentication unit retrieves, from the registration unit, registration information of the check target detected by the detector, and authenticates the check target authenticated by the first authentication unit using the registration information.

Authentication apparatus, authentication method, and computer readable storage medium

A sensor diagnostic apparatus for diagnosing a sensor includes a moving object counter, a reference value storage, and a comparator. The moving object counter counts, in accordance with identification data acquired by a plurality of sensors in a predefined time period, a local number of moving objects moving between a sensing area of a first sensor and a sensing area of a second sensor near the first sensor. The reference value storage stores a preset reference value for the first sensor and the second sensor. The comparator compares a value derived from the local number of moving objects counted by the moving object counter with the preset reference value stored in the reference value storage to determine the first sensor to be in trouble when a difference between the value derived from the local number of moving objects and the preset reference value exceeds a predefined threshold value.

Sensor diagnostic apparatus and method thereof

A focus adjusting apparatus adjusts a focus of a camera imaging a moving object. The apparatus includes a calculating unit that calculates a first out-of-focus level of a portion corresponding to the moving object within a first region of an image picked up by the camera, and calculates a second out-of-focus level of a portion corresponding to the moving object within a second region of an image; and a focus adjusting unit that shifts the focus of the camera in a direction in which the camera is focused onto the portion corresponding to the moving object within the first region when the first out-of-focus level is larger than the second out-of-focus level, and that shifts the focus in a direction in which the camera is focused onto the portion corresponding to the moving object within the second region when the second out-of-focus level is larger than the first out-of-focus level.

Focus adjusting apparatus and method

The present invention provides an object detection apparatus for detecting at least one object existing in an observation subject space. The object detection apparatus comprises an object model recording unitthat calculates and records an object model, which is an image expressing the form of a detection subject, a millimeter wave distance sensorthat calculates the distance to an object candidate by emitting millimeter waves so as to cover the entirety of the observation subject space at one time, a stereo image sensorthat calculates a characteristic image and a distance image having different viewpoints, a control unitthat selects an object candidate, a model conversion unitthat calculates a comparison model from the object model, a comparison image extraction unitthat extracts a comparison image from the characteristic image and distance image, and a similarity comparison unitthat calculates the similarity between the comparison model and comparison image, and when a maximum similarity is within a predetermined range, calculates the three-dimensional position of the object from the coordinates of the comparison image and the distance to the object candidate, and outputs the three-dimensional position of the object to the outside.

Growing community of inventors

Kawasaki, Japan

Eigo Segawa