Abstract: Methods and systems for manually assisted definition of vascular features are described. In some embodiments, vascular centerlines identified by image analysis are divided into segments. Optionally, one or more candidate paths extending to the vascular root position along chains of segments are generated for each of a plurality of vascular endpoint. Selection of paths which correspond to anatomical paths of blood flow is optionally based on manual review. Optionally, paths are manually defined, for example, based on selection of a plurality of waypoints. Optionally, paths are edited by use of an active contour method that allows relative rough indication of corrections to be transformed into path changes that conform closely to the geometry of nearby vasculature.

Abstract: A processing apparatus includes a distance image acquirer, a moving-object detector, and a danger-level determining unit. The distance image acquirer acquires a distance image containing distance information of each pixel. The moving-object detector detects a moving object from the distance image. The danger-level determining unit determines a danger level of the moving object by use of the distance image, and outputs the danger level to a controller that controls a controlled unit in accordance with the danger level.

Abstract: Systems, methods, and computer program products for smart, automated capture of textual information using optical sensors of a mobile device, and selective provision of such textual information to a user interface for facilitating performance of downstream workflows are disclosed. The capture and provision is context-aware, and determines context of the optical input, and optionally invokes a contextually-appropriate workflow based thereon. The techniques also provide capability to normalize, correct, and/or validate the captured optical input and provide the corrected, normalized, validated, etc. information to the contextually-appropriate workflow. As a result, the overall process of capturing information from optical input using a mobile device, invoking an appropriate workflow, and providing captured information to the workflow is significantly simplified and improved in terms of accuracy of data transfer/entry, speed and efficiency of workflows, and user experience.

Abstract: An information processing apparatus comprises an image generation unit configured to generate, based on a first image in which a transparent object having transparency is captured and a second image in which a target object is captured, a reproduced image in which the target object which is at least partially covered by the transparent object is reproduced; and a creation unit configured to create, based on the reproduced image, a model for recognizing the target object which is at least partially covered by the transparent object.

Abstract: There is provided an apparatus comprising processing circuitry configured to: receive first medical image data obtained using a first type of imaging procedure, wherein the first medical image data is representative of an anatomical region of a subject; and apply a simulator to perform a simulation process on the first medical image data to obtain simulated second medical image data, the simulated second medical image data having properties so as to simulate image data that is obtained using a second type of imaging procedure. The simulator comprises an image synthesizer that is trained in combination with a discriminator in an adversarial fashion by repeatedly alternating an image synthesizer training process in which the image synthesizer is trained to produce simulated medical image data, and a discriminator training process in which the discriminator is trained to distinguish between real medical image data and simulated medical image data.

Abstract: A method for detecting properties of sample tubes is provided that includes extracting image patches substantially centered on a tube slot of a tray or a tube top in a slot. For each image patch, the method may include assigning a first location group defining whether the image patch is an image center, a corner of an image or a middle edge of an image, selecting a trained classifier based on the first location group and determining whether each tube slot contains a tube. The method may also include assigning a second location group defining whether the image patch is from an image center, a left corner of the image, a right corner of the image, a left middle of the image; a center middle of the image or a right middle of the image, selecting a trained classifier based on the second location group and determining a tube property.

Abstract: An image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry recognizes at least one of chest wall, vessels, nodules, and tumors by increasing sensitivity to a gradient and a sensitivity to a cavity structure in three-dimensional data including a lung area. The processing circuitry generates lung image data corresponding to the lung area by performing a data removing process for removing data derived from the chest wall and a data holding process for holding data derived from at least one of the vessels, the nodules, and the tumors on a basis of a result obtained by the recognizing. The processing circuitry outputs the lung image data.

Abstract: An information processing method, an information processing apparatus and a user equipment are provided. A method comprises: acquiring sight line information of at least one user in a space; and in response to a determination according to the sight line information that at least one set sight line direction exists, generating an operation instruction; wherein each set sight line direction in the at least one set sight line direction has a first gaze point and a second gaze point distributed front and back, and two starting points of two sight lines respectively corresponding to the first gaze point and the second gaze point are both before the first gaze point. Accordingly, it is easily detected according to at least one user's sight line information that a transparent object or a mirror object exists in a space, facilitating the user or a device to use the object detection result for subsequent operations.

Abstract: The invention provides a method of analyzing video data comprising the steps of recording the video data using one or more video recording devices; analyzing at least one video frame of the video data to extract identification information regarding a specific object of interest that is comprised in a watch list of a plurality of objects of interest, the watch list including at least one entry for each of the plurality of objects of interest; computing a matching value by comparing the extracted identification information with predetermined identification information of the specific object of interest; and storing object data and the matching value as an additional entry in the watch list in association with the specific object of interest.

Abstract: An analysis device includes a controller. The analysis device receives moving images sent from a plurality of imaging devices, analyzes the received moving images, and sends an analysis result of a moving image to, among a plurality of display devices, a display device which has made a request to display so that the display device displays the analysis result. The controller controls a processing order of reception processes and analysis processes on moving images sent from the imaging devices according to degrees of priority preset for the respective imaging devices.

Abstract: A method of generating a correction plan for correcting a deformed bone includes inputting to a computer system a first image of the deformed bone in a first plane and inputting to the computer system a second image of the deformed bone in a second plane. Image processing techniques are employed to identify a plurality of anatomical landmarks of the deformed bone in the first image. The first image of the deformed bone is displayed on a display device. A graphical of the deformed bone is autonomously generated and graphically overlaid on the first image of the deformed bone on the display device, the graphical template including a plurality of lines, each line connected at each end to a landmark point corresponding to one of the anatomical landmarks. A model of the deformed bone may be autonomously generated based on the graphical template.

Abstract: A method of determining a point or object on a digital display that is being gazed at by a viewer by capturing an image of the viewer's iris and at least one other feature of the viewer's face, calculating an imaginary line from the object being viewed, to the iris and continuing to an imaginary center of the viewer's eye, then calculating a position of the center of the eye relative to the other feature of the viewer's face. Upon a change in the position of the eye and the iris, a calculation can be made of a position of the iris in a second image. An imaginary line can be extended out from the center of the eye, through the new position of the iris onto the digital display to determine the point of gaze of the viewer.

Abstract: Method and system for detecting and tracking multiple moving targets based on wide-area motion imagery are provided. The method includes receiving a task request from a client; sending the task request to a local agent; acquiring to-be-processed images from the client, in response to the task request; calling an Hadoop API and checking a running status of a Hadoop system for an available resource in the Hadoop system; when a resource in the Hadoop system is available, pushing the to-be processed images to a back-end Hadoop distributed file system (HDFS); running tracking algorithms of multiple moving objects associated with the to-be-processed images to provide tracking results of the multiple moving objects; when the Hadoop system is completed in running the tracking algorithms, generating and sending a message to the local agent; and sending the tracking results of the multiple moving objects from the HDFS to the front-end database.

Abstract: Provided is an X-ray imaging apparatus including: an image generation unit configured to generate an X-ray image based on X-rays transmitted by an object; a thickness measurement unit configured to measure thickness information of the object and generate a reference phantom image in which the measured thickness information is indicated; and an image separation unit configured to generate a final image obtained by separating a material inside the object from the X-ray image using the reference phantom image.

Abstract: The disclosed technology includes image-based systems and methods for object tracking within an asset area. Some exemplary methods include receiving, from an ingress detector, an ingress indication of a first object entering an asset area and receiving, from one or more image capture devices positioned to view respective portions of the asset area, data indicative of a plurality of captured images. The methods also include performing, by at least one processor, object classification of the first object based on the ingress indication, one or more of at least one of the plurality of captured images, and an identification signal detected by the ingress detector. The methods further include determining a first object location of the first object based at least in part on the object classification and outputting an indication of the first object location.

Abstract: A water-droplet detecting apparatus according to an embodiment includes a setting unit, a first extraction unit, a second extraction unit, and a determination unit. The setting unit sets concentric circles having a center at arbitrary one point of a captured image of an image capturing unit. The first extraction unit extracts candidate pixels based on gradients of pixels on a circumference of each of the concentric circles. The candidate pixels are candidates for pixels that are estimated to indicate a water droplet adhered to the image capturing unit. The second extraction unit extracts one or more candidate circles based on the candidate pixels extracted by the first extraction unit. The one or more candidate circles are candidates for circles that indicate a shape of the water droplet. The determination unit determines whether or not the water droplet is adhered based on an extraction result of the second extraction unit.

Abstract: Methods, apparatuses, and computer-readable media are provided for splitting one or more merged blobs for one or more video frames. A blob detected for a current video frame is identified. The identified blob includes pixels of at least a portion of a foreground object in the current video frame. The identified blob is determined to be associated with two or more blob trackers from a plurality of blob trackers. The plurality of blob trackers are received from an object tracking operation performed for a previous video frame. It is then determined whether one or more splitting conditions are met. The splitting conditions can be based on a spatial relationship between bounding regions of the two or more blob trackers and a bounding region of the identified blob. The identified blob can be split into a first blob and a second blob in response to determining the one or more splitting conditions are met.

Abstract: A coded tracking system includes an imaging device and a target object that includes a plurality of locators emitting light according to a first pattern. An image of the target object captured by the imaging device includes light received by the imaging device from a subset of the plurality of locators. A pattern controller is configured to determine a resolution value for an adjacent pair of light sources in the captured image. The resolution value is indicative of the pattern controller being able to resolve the adjacent pair of light sources as two separate sources. The pattern controller determines a second pattern for the locators based on the resolution value. The second pattern improves a likelihood that the pattern controller can resolve between individual light sources emitting light in the second pattern. The pattern controller instructs the target object for the locators to emit light according to the second pattern.

Abstract: A launch monitor having a camera can be used to measure a trajectory parameter of a ball. In one example, a method can include changing a mode of the camera from a low-speed mode to a high-speed mode. The camera can include an image sensor array having a plurality of pixels. The camera can generate a video frame using more pixels in the low-speed mode than in the high-speed mode. A first video frame can be received, the video frame comprising values captured during the high-speed mode from a first subset of the plurality of pixels. A second video frame can be received, the video frame comprising values captured during the high-speed mode from a second subset of the plurality of pixels. The trajectory parameter of the ball can be calculated using the first video frame and the second video frame.

Abstract: A system for counting fetal and maternal red blood cells (RBCs) including a microscope and image capturing device to capture at least one image from a slide holding the fetal and maternal RBCs; a computer readable medium for storing the at least one image; a processor for executing computer readable instructions stored on a computer readable medium; wherein the computer executable instructions include instructions for: indentifying red blood cells from the at least one image; distinguishing between fetal and maternal red blood cells; and counting the fetal and maternal red blood cells.