Abstract: A method, apparatus and computer program product for detecting a start location and an end location of a bridge are described herein. In the context of a method, one or more sequences of images, at least one sequence of images corresponding with a side barrier portion of the bridge, may be identified from image data corresponding with a probable location of the bridge. Each side barrier portion may comprise a plurality of side barrier segments. The method may identify one or more characteristics of the plurality of side barrier segments. The method may determine the start location and the end location of the bridge based at least in part by identifying characteristic differences of the plurality of side barrier segments. The method may cause transmission of information corresponding with the start location and the end location of the bridge for updating a mapping or navigation system.

Abstract: Methods, systems, and apparatus for remote camera-assisted robot guidance are disclosed. A method includes obtaining images of objects approaching a door of a property; identifying candidate paths to the door based on the images of the objects approaching the door of the property; determining movement capabilities of the objects; storing the candidate paths to the door labeled by the movement capabilities of the objects that took the paths; determining capability information for a robot at the property that indicates movement capabilities of the robot; selecting, from the candidate paths, a path for the robot to take to the door based on the movement capabilities of the robot and the labels of the candidate paths; and providing guidance information to the robot that guides the robot to the door along the selected path.

Abstract: Techniques disclosed for managing video captured by an imaging device. Methods disclosed capture a video in response to a capture command received at the imaging device. Following a video capture, techniques for classifying the captured video based on feature(s) extracted therefrom, for marking the captured video based on the classification, and for generating a media item from the captured video according to the marking are disclosed. Accordingly, the captured video may be classified as representing a static event, and, as a result, a media item of a still image may be generated. Otherwise, the captured video may be classified as representing a dynamic event, and, as a result, a media item of a video may be generated.

Abstract: The present invention provides a system for identifying individual crowns of individual fruit trees using aerial images. A crown identification device 40 of the present invention includes an identification criterion determination unit 41 and a crown identification unit 42.

Abstract: One or more highlights of a video stream may be identified. The highlights may be segments of a video stream, such as a broadcast of a sporting event, that are of particular interest to one or more users. According to one method, at least a portion of the video stream may be stored. The portion of the video stream may be compared with templates of a template database to identify the one or more highlights. Each highlight may be a subset of the video stream that is deemed likely to match the one or more templates. The highlights, an identifier that identifies each of the highlights within the video stream, and/or metadata pertaining particularly to the one or more highlights may be stored to facilitate playback of the highlights for the users.

Abstract: A monitoring or tracking system may include an input port and a controller in communication with the input port. The input port may receive data from a data recorder. The data recorder is optionally part of the monitoring system and in some cases includes at least part of the controller. The controller may be configured to receive data via the input port and determine values for one or more dimensions of subject performing a task based on the data and determine a location of a hand of the subject performing the task based on the data. Further, the controller may be configured to determine one or both of trunk angle and trunk kinematics based on the received data. The controller may output via the output port assessment information.

Abstract: Systems and methods for determining a distribution map of susceptibility property of an object are provided. The method may include one or more of the following operations. A phase diagram corresponding to a magnetic resonance (MR) signal of the object may be obtained. A preliminary field map may be determined based on the phase diagram. Preliminary error limiting information associated with the preliminary field map may be obtained. A preliminary distribution map of susceptibility property of the object may be determined based on the preliminary field map and the preliminary error limiting information. An iteration process including at least one iteration may be performed to determine a target distribution map of susceptibility property of the object.

Abstract: A renal function assessment method includes following steps. A target kidney ultrasound image data of a subject is provided. An image pre-processing step is performed, wherein an image size of the target kidney ultrasound image data is adjusted, and the target kidney ultrasound image data is normalized according to an average and a standard deviation of a visual image database to obtain an after-processed target kidney ultrasound image data. A feature extracting step is performed, wherein the after-processed target kidney ultrasound image data is trained to achieve a convergence by a first deep-learning classifier to obtain an image feature of the after-processed target kidney ultrasound image data. A determining step is performed, wherein the image feature of the after-processed target kidney ultrasound image data is analyzed by the first deep-learning classifier to obtain an assessing result of an estimated glomerular filtration rate (eGFR).

Abstract: The present disclosure provides a system and a method for generating an imaging report. The method may include obtaining first imaging information and second imaging information. The first and second imaging information may be acquired from an examination region of a subject using a first imaging device or a second imaging device, respectively. The method may include identifying at least one first target ROI based on the first imaging information, and determining first reporting information corresponding to the at least one first target ROI. The method may include identifying at least one second target ROI with respect to the second imaging information based on the at least one first target ROI, and determining second reporting information corresponding to the at least one second target ROI. The method may further include generating a report based on at least a part of the first reporting information or the second reporting information.

Abstract: A method of processing a sequence of images of a retina acquired by an ophthalmic device to generate retinal position tracking information indicative of retina movement during acquisition. The method includes (i) receiving one or more images of the retina; (ii) calculating a cross-correlation between a reference image and an image based on the received image(s) to acquire an offset between the image and reference image; and repeating processes (i) and (ii) to acquire, as the tracking information, respective offsets for images that are based on the respective received image(s). Another step includes modifying the reference image during the repeating, by determining a measure of similarity between correspondingly located regions of pixels in two or more received images and accentuating features in the reference image representing structures of the imaged retina in relation to other features in the reference image based on the determined measure of similarity.

Abstract: Normalized resolutions are determined for first and second regions of interest of an initial video stream captured by a video capture device located within a physical space. The first region of interest is associated with a first conference participant within the physical space and the second region of interest is associated with a second conference participant within the physical space. Instructions are transmitted to the video capture device to cause the video capture device to capture, at the normalized resolutions, a first video stream associated with the first region of interest and a second video stream associated with the second region of interest. The first and second video streams conform sizes and quality levels of the first and second conference participants within separate user interface tiles of a conferencing software user interface to which the first and second video streams are output.

Abstract: A gas monitoring image recording device, a gas monitoring image recording method, and a gas monitoring image recording program according to the present invention involve: acquiring gas monitoring image data including a plurality of time-series images for use in monitoring a gas leak; extracting a leakage candidate area as a candidate for a gas leak based on the gas monitoring image data acquired; extracting predetermined features related to the gas leak in response to extracting the leakage candidate area; and causing a storage unit to store the features extracted in association with the gas monitoring image data from which the leakage candidate area has been extracted.

Abstract: A method for viewing pathology images in a web browser is provided.

Abstract: An electronic device according to an embodiment disclosed herein may include a memory including at least one instruction and a processor. By executing the at least one instruction, the processor may check feature information corresponding to a video and including at least one of an appearance-related feature value and a motion-related feature value from the video, calculate at least one of a starting score related to a starting point of an action instance, an ending score related to an ending point of an action instance, and a relatedness score between action instances on the basis of the feature information corresponding to the video, the action instances being included in the video, and generate an action proposal included in the video on the basis of the at least one score.

Abstract: This ball game video analysis device: receives movie frames captured by cameras; computes the trajectory of the three-dimensional positions of a ball using the received multiple movie frames; determines, on the basis of a change in the ball trajectory, whether or not any action has been made by a player with respect to the ball; in the case when there has been such an action, selects, as an action frame, the movie frame corresponding to the timing at which said action was made; and identifies, from the action frame, a player who made that action.

Abstract: An input interface is configured to receive at least one sensor signal corresponding to information of the exterior of the vehicle sensed by at least one sensor. A processor is configured to, based on the sensor signal, generate: a first data corresponding to first information sensed in a first area; and a second data corresponding to second information sensed in a second area located outside the first area. An output interface is configured to output the first data and the second data independently from one another.

Abstract: A method and system of diagnosing a medical condition of a target area of a patient using a mobile device are provided. One or more magnetic field images of a target area of a patient are received. One or more hyperspectral images of the target area of the patient are received. For each of the one or more magnetic field images and the one or more hyperspectral images, a three-dimensional (3D) position of the mobile device is tracked with respect to the target are of the patient. A 3D image of the target area is generated based on the received one or more magnetic field images, one or more hyperspectral images, and the corresponding tracked 3D position of the phone with respect to each image. A medical condition of the target area is diagnosed or monitored based on the generated 3D image.

Abstract: Systems and methods for imaging. An external device may be used to acquire optical image data of a subject. One or more physical parameters of the subject may be determined based on the optical image data. The one or more physical parameters may be translated to one or more properties of the subject. The one or more properties may then be used to generate medical image data of the subject.

Abstract: [Problem] To provide an action-estimating device with which an action of a subject appearing in a plurality of time-series images can be precisely estimated. [Solution] In the action-estimating device 1, an estimating-side detecting unit 13 detects a plurality of articulations A appearing in each time-series image Y on the basis of a reference having been stored in an estimating-side identifier 11 and serving to identify the plurality of articulations A. An estimating-side measuring unit 14 measures the coordinates and the depths of the plurality of articulations A appearing in each of the time-series images Y. On the basis of displacement in the plurality of time-series images Y of the measured coordinate and depth of each of the articulations A, a specifying unit 15 specifies, from among the plurality of articulations A, an articulation group B which belongs to a given subject.

Abstract: Embodiments are directed to a smart camera device that analyzes independent video streams.