Abstract: An image processing system (IPS) and related method. The system comprises an input interface (IN) for receiving an earlier input image (Va) and a later input image (Vb) acquired of an object (OB) whilst a fluid is present within the object (OB). A differentiator (?) is configured to form a difference image (Vd) from the at least two input images (Va,Vb). An image structure identifier (ID) is operable to identify one or more locations in the difference image. Based on a respective feature descriptor that describes a respective neighborhood around said one or more locations. An output interface (OUT) outputs a feature map (Vm) that includes the one or more locations.

Abstract: Systems and methods are provided for initiating transfer of image data corresponding to at least one predetermined level of an image pyramid comprising higher resolution to a graphic processing unit (GPU) of the computing device, calculating, by the central processing unit (CPU) of the computing device, optical flow of at least one predetermined coarse level of the image pyramid, transferring, by the CPU of the computing device, the calculated optical flow of the at least one predetermined coarse level of the image pyramid to the GPU, calculating, by the GPU of the computing device, the optical flow of the at least one predetermined level of the image pyramid comprising higher resolution, and outputting, by the GPU of the computing device, the optical flow of the image data.

Abstract: A vehicle system for estimating a trailer size may include a plurality of sensors arranged on a vehicle and may be configured to detect objects external to the vehicle and provide trailer data indicative of a trailer location behind a vehicle and a memory configured to maintain a virtual grid including a plurality of cells. The system may also include a controller in communication with the sensors and memory and configured to determine, based on the trailer data received within a predefined amount of time, an occupancy frequency for each of the plurality of cells, the occupancy frequency being an incrementation of each time an object was detected within the respective cell; determine a threshold distribution based on the occupancy frequency of each cell; and determine a trailer size based on the cells having an occupancy frequency exceeding the threshold distribution.

Abstract: Augmented reality-based training and troubleshooting is described for medical devices. An electronic mobile device can be equipped with an AR application that, when executed, causes the electronic mobile device to provide augmented reality-based training on how to set up, or perform maintenance on, one or more components of a medical device. The AR application, when executed, can also cause the electronic mobile device to provide augmented reality-based troubleshooting for one or more components of a medical device.

Abstract: In one aspect the disclosed technology relates to embodiments of a method which, includes acquiring magnetic resonance imaging data, for a plurality of images, of the heart of a subject. The method also includes segmenting, using cascaded convolutional neural networks (CNN), respective portions of the images corresponding to respective epicardium layers and endocardium layers for a left ventricle (LV) and a right ventricle (RV) of the heart. The segmenting is used for extracting biomarker data from segmented portions of the images and, in one embodiment, assessing hypertrophic cardiomyopathy from the biomarker data. The method further includes segmenting processes for T1 MRI data and LGE MRI data.

Abstract: A method and system for generating a map identifying the size and location of anomalous crop health patterns of a geographic area. Predictive crop health forecasting based historical crop health images generates expected crop health images. Statistical parametric mapping is used to model differences in the expected crop health images and current crop health images to generate a statistical parametric map. Regions of anomalous crop health based on the modeled differences are identified in the statistical parametric map. The number of the identified anomalous crop health regions and the size of each of the identified anomalous crop health regions are determined. The statistical significance of the size and number of the anomalous crop health regions relative to the expected crop health is quantified. A map of anomalous crop health patterns delineates the anomalous crop health regions and the statistical significance of the size and number of anomalous crop health regions.

Abstract: The present invention discloses a method to deliver a reminder message. The method includes a step of triggering a delivery of the reminder message upon detecting or sensing a reminder message required event-or-activity to prevent a person from forgetting or losing a person item. In an exemplary embodiment, the step of sensing the reminder message required event-or-activity includes a step of detecting or sensing an activity when the person preparing to leave a place for a next destination.

Abstract: Provided are a liveness detection method and apparatus, an electronic device and a storage medium. The method includes: in a case of satisfying a liveness detection starting condition, acquiring (S110) an image frame in a video in real time; recognizing (S120) at least two organ regions of a user in the image frame, and updating a feature value set corresponding to each recognized organ region according to a feature value calculated based on the recognized organ region corresponding to the feature value set; and performing (S130) a liveness detection on the user according to data features in a combination set formed by at least two feature value sets corresponding to the at least two organ regions and extremum conditions respectively corresponding to the at least two feature value sets.

Abstract: There is provided an inspection method of a substrate holder for holding a substrate. This inspection method has a step of providing the substrate holder comprising a first member and a second member between which a substrate is held, an electric contact, and a seal member, the first member having a surface region where intrusion of the liquid is prevented by the seal member, the second member having the seal member, a step of holding the second member by a holding portion of a substrate holder opening/closing unit, and detaching the second member from the first member, and a detection step of detecting that the liquid adheres to the surface region of the first member, by a detector located above the first member and the second member.

Abstract: An obstacle detection method and apparatus are provided. The obstacle detection method provided includes: obtaining a to-be-detected image; determining a road surface area and a non-road surface area in the to-be-detected image according to pixel information contained in the to-be-detected image; respectively determining an outermost layer contour line of the road surface area and a contour line of the non-road surface area; and when the contour line of at least one non-road surface area is located in the area contained in the outermost layer contour line of the road surface area, determining a physical object contained in the at least one non-road surface area as an obstacle. The present application is applied to a process of detecting an obstacle.

Abstract: Techniques are disclosed for converting image frames, such as the image frames of a motion picture, from one aspect ratio to another while predicting the pan and scan framing decisions that a human operator would make. In one configuration, one or more functions for predicting pan and scan framing decisions are determined, at least in part, via machine learning using training data that includes historical pan and scan conversions. The training data may be prepared by extracting features indicating visual and/or audio elements associated with particular shots, among other things. Function(s) may be determined, using machine learning, that take such extracted features as input and output predicted pan and scan framing decisions. Thereafter, the image frames of a received video may be converted between aspect ratios on a shot-by-shot basis, by extracting the same features and using the function(s) to make pan and scan framing predictions.

Abstract: A processor-implemented method includes acquiring, by a processor, a first undirected graph and a second undirected graph, generating, by the processor, a first lattice for the first undirected graph and a second lattice for the second undirected graph; matching, by the processor, the first lattice and the second lattice based on a first global structure of the first lattice and a second global structure of the second lattice, the first global structure corresponding to nodes of the first undirected graph and the second global structure corresponding to nodes of the second undirected graph, and processing the first undirected graph and the second undirected graph based on a result of the matching of the first lattice and the second lattice.

Abstract: Provided is control information related to polarizations of antennas for MISO communication. The control signal generator generates polarization information indicating whether antennas used for transmission by MISO have only a first polarization or have a second polarization as well as the first polarization. With this structure, the present invention allows for the use of combinations of SISO, MISO and MIMO, taking the polarization of antennas. Furthermore, the present invention enables the receiver to reduce the power consumption.

Abstract: Provided is a pattern inspection method including: irradiating a substrate with an electron beam, a pattern being formed on the substrate; acquiring an inspection image as a secondary electron image of the pattern; setting a pixel value equal to or less than a first threshold value minus a half of a predetermined detection width of the inspection image and a pixel value equal to or more than the first threshold value plus a half of the predetermined detection width of the inspection image to unprocessed; acquiring a difference image between the inspection image having the pixel value having less than the first threshold value minus the half of the predetermined detection width and the pixel value having more of the first threshold value plus the half of the predetermined detection width being set to unprocessed and a reference image of the inspection image; and performing inspection on the basis of the difference image.

Abstract: A classification unit classifies a lung region, which is included in each of two three-dimensional images having different imaging times for the same subject, into a plurality of types of case regions. A mapping image generation unit generates a plurality of mapping images corresponding to the three-dimensional images by labeling each of the classified case regions. A change calculation unit calculates the center-of-gravity position of each case region for case regions at corresponding positions in the mapping images, and calculates the movement amount and the movement direction of the center-of-gravity position between the mapping images as a change of each case region. A display control unit displays information regarding the change on a display.

Abstract: A method of LiDAR-based vehicle tracking for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps including taking point clusters that belong to vehicles in a single LiDAR frame as input, tracking each vehicle as a probabilistic distribution, assigning each tracked vehicle to a corresponding one of the point clusters, and recalculating the probabilistic distribution of each tracked vehicle.

Abstract: The present disclosure provides a license plate recognition method, a device thereof, and a user equipment. In the method, a vehicle image is acquired and input to a vehicle searching convolutional neural network (CNN) to search whether there is a vehicle. Then, a license plate image is acquired and input to a license plate searching CNN to search whether there is a license plate. And the license plate image is input to a tensor neural network to detect abnormal or not. Then, a recognition image is acquired and input to judge an area number, letters, and numbers. And an area number image, a letter image, and a number image are output and input to their corresponding recognition CNNs respectively to recognize an area number, letters, and numbers and output respectively. Ultimately, a license plate number recognition result in a form of “area number letter number” are output.

Abstract: An imaging device (1) includes a positron emission tomography (PET) scanner (10) including radiation detectors (12) and coincidence circuitry for detecting electron-positron annihilation events as 511 keV gamma ray pairs defining lines of response (LORs) with each event having a detection time difference At between the 511 keV gamma rays of the pair. At least one processor (30) is programmed to reconstruct a dataset comprising detected electron-positron annihilation events acquired for a region of interest by the PET scanner to form a reconstructed PET image wherein the reconstruction includes TOF localization of the events along respective LORs using a TOF kernel having a location parameter dependent on At and a TOF kernel width or shape that varies over the region of interest. A display device (34) is configured to display the reconstructed PET image.

Abstract: An object of the present invention is to provide an index generating method and index generating apparatus capable of accurately and stably generating an index for measuring a width of a subject, and a measuring method capable of accurately and stably measuring a width of a subject. An index generating method according to one embodiment of the present invention includes: an image input step of inputting an image obtained by imaging a linear subject; a density distribution acquiring step of acquiring, from the input image, a plurality of density distributions along a direction orthogonal to a width direction of the linear subject, which are density distributions in the width direction of the linear subject; a function calculating step of calculating a probability distribution function corresponding to the acquired plurality of density distributions; and an index generating step of generating an index indicating a width of the subject based on the calculated probability distribution function.

Abstract: Geographic location data and telematics data may be collected in real-time by a mobile device within a vehicle, or the vehicle itself. The telematics data may indicate vehicle direction, speed, motion, etc., as well as traffic hazards in the surrounding environment. A remote server may receive the location and telematics data from two vehicles. If an anomalous or hazardous condition exists in the vicinity of the first vehicle, a geographic relationship with the second vehicle is determined, and if within a predetermined distance, an alert or alternate route for the second vehicle is determined and transmitted to the second vehicle. As a result, a negative impact or risk of collision caused by the anomalous condition on the second vehicle is alleviated. The amount of the insured's usage of the telematics data-based risk mitigation or prevision functionality may be used to calculate or adjust insurance premiums, rates, or discounts.