Abstract: An editor application configured for setting up at least one evaluation data structure, each evaluation data structure being configured for evaluating a corresponding specific motion pattern in a sequence of image data structures Each evaluation data structure includes a machine learning (ML) model artifact of an exercise specific ML model configured for evaluating the particular physical exercise. Further, the ML model is trained based on a plurality of sequences of image data structures showing different variants of the specific motion pattern for the particular physical exercise, and for each image data structure, a set of key data elements is provided, a key data element indicating a respective position of a landmark in the image data structure, said training being further based on class labels provided for each image data structure.

Abstract: A method for detecting a foreign object and related electronic devices are provided. The method is applied to an electronic device having a screen and an image sensor arranged below the screen. The image sensor captures a detection image. It is detected whether a foreign object is attached on the screen based on the detection image.

Abstract: Methods and systems disclosed herein are directed to detection and recognition of items of data on labels applied to equipment and identifying metadata labels for the items of data using NLP. Embodiments may include identifying one or more items of data on an image of a label associated with a piece of equipment, determining, using NLP on the one or more items of data of the image, one or more metadata associated, respectively, with the identified one or more items of data, and outputting at least one of the one or more metadata and associated items of data.

Abstract: Systems and methods for reducing error from noisy data received from a high frequency sensor by fusing received input with data received from a low frequency sensor by collecting a first set of dynamic inputs from the high frequency sensor, collecting a correction input point from the low frequency sensor, and adjusting a propagation path of a second set of dynamic inputs from the high frequency sensor based on the correction input point either by full translation to the correction input point or dampened approach towards the correction input point.

Abstract: A six-degree-of-freedom measurement method by machine vision based on physical decoupling. A point projector capable of emitting three laser beams perpendicular to each other is placed on a measured object. A rear-projection screen is configured to allow the three laser beams to be projected thereon as three laser points. The collection of motion images is performed by a camera. Plane coordinates of the three laser points are obtained by processing a sequence image. A mathematical decoupling model is built according to a nature of sphere and a spatial position relationship of three laser beams. The plane coordinates of the three laser points are input into the mathematical decoupling model to obtain six-degree-of-freedom information of the measured object.

Abstract: The present invention relates to the technical field of digital image processing, and provides an ellipse detection acceleration method based on generalized Pascal mapping. The method comprises: step 100, extracting accurate edge points from a real image by means an edge detection method of an ellipse detection method, connecting edge points into arcs, and taking a de-noised arc set as input of an ellipse detection acceleration method; step 200, screening out a valid candidate arc combinations probably belonging to the same ellipse from the arc set input in step 100; step 300, calculating five parameters of a candidate ellipse; repeating step 200 to step 300 until all valid candidate arc combinations in the arc set and corresponding candidate ellipses are found; and step 400, clustering and verifying candidate ellipse sets, obtaining a final detected ellipse set.

Abstract: An artificial intelligence (AI) system for simulating functions such as recognition, determination, and so forth of human brains by using a mechanical learning algorithm like deep learning, or the like, and an application thereof is provided. A method of providing a text-related image is provided. The method includes obtaining a text, determining at least one image related to the obtained text based on a degree of relatedness between a result of applying a first AI data recognition model to the obtained text and a result of applying a second AI data recognition model to a user-accessible image, and displaying the determined at least one image to a user.

Abstract: Systems, methods, devices, and techniques for generating object-heading estimations. In one example, methods include actions of receiving sensor data representing measurements of an object that was detected within a proximity of a vehicle; processing the sensor data with one or more preliminary heading estimation subsystems to respectively generate one or more preliminary heading estimations for the object; processing two or more inputs with a second heading estimation subsystem to generate a refined heading estimation for the object, the two or more inputs including the one or more preliminary heading estimations for the object; and providing the refined heading estimation for the object to an external processing system.

Abstract: Search points in a search space may be projected onto images from cameras imaging different parts of the search space. Subimages, corresponding to the projected search points, may be selected and processed to determine if a target object has been detected. Based on subimages in which target objects are detected, as well as orientation data from cameras capturing images from which the subimages were selected, positions of the target objects in the search space may be determined.

Abstract: An intelligent video surveillance system is disclosed which performs real-time analytics on a live video stream. The system includes a training database populated with frames of actual video of objects of interest taken in a relevant environment. A subset of the frames include bounding boxes and/or bounding polygons which can be augmented. The training database also includes classification/annotation of data/labels relevant to the object of interest, a person carrying the object of interest, and/or the background or environment. The training database is searchable by the classification/annotation of data/labels.

Abstract: A method for extracting a major vessel region from a vessel image by a processor may comprise the steps of: extracting an entire vessel region from a vessel image; extracting a major vessel region from the vessel image on the basis of a machine learning model which extracts a major vessel region; and revising the major vessel region by connecting separated vessel portions on the basis of the entire vessel region.

Abstract: The present disclosure relates to a method and a device for recognizing hand gestures in real-time. A shape is given as an input in a form of a binary image. The shape contour is partitioned into radial and angular spaces by an Angular Radial Bin distribution including multiple concentric circles and angular space partitions in a way that multiple angular radial sections are created denoted Angular Radial Bins. The ARB distribution is angle tilted through its centre of mass multiple times and the same procedure is repeated in order to capture a shape descriptor from different angle perspectives. A shape descriptor is calculated for each of an angle tilted instance of the ARB distribution belonging to a sequence of angle tilted instances of the ARB distribution.

Abstract: A method and device for automatically increasing the spectral bandwidth of an audio signal including generating a “mapping”(or “prediction”) matrix based on the analysis of a reference wideband signal and a reference narrowband signal, the mapping matrix being a transformation matrix to predict high frequency energy from a low frequency energy envelope, generating an energy envelope analysis of an input narrowband audio signal, generating a resynthesized noise signal by processing a random noise signal with the mapping matrix and the envelope analysis, high-pass filtering the resynthesized noise signal, and summing the high-pass filtered resynthesized noise signal with the original an input narrowband audio signal. Other embodiments are disclosed.

Abstract: A function executing device is configured to send a wireless identifier to a communication device via a first type of wireless communication interface for setting up a wireless connection. The function executing device is configured to determine whether the function executing device is in an error state and, if not, to establish the wireless connection via a second type of wireless communication interface. The function executing device operates in a parent state in the wireless connection. Additionally, print data may be received from the communication device. However, if the function executing device is in an error state the wireless connection is not established via the second type of wireless communication interface.

Abstract: The present application discloses an image element matching method and apparatus, a model training method and apparatus, and a data processing method. The issue of finding image information matching a given image element is converted into the issue of predicting, from a matching knowledge graph, whether or not an edge is present between a node corresponding to the given image element and another node in the matching knowledge graph. Therefore, matching between image elements is flexibly implemented, matching performance is improved, and labor costs are reduced.

Abstract: In some implementations, a device may process an image to identify one or more first lines of the image that extend in a first dimension. The device may process the image to identify one or more second lines of the image that extend in a second dimension orthogonal to the first dimension. The device may identify portions of the one or more first lines that do not intersect with the one or more second lines. The device may process the image to obtain a version of the image in which the portions of the one or more first lines are removed.

Abstract: A system for measuring muscle mass of a patient has a dual-energy radiation emission source. A radiation detector is configured to detect radiation emitted from the dual-energy radiation emission source passed through the patient. A processor has a memory with storing instructions, that when executed by the processor, perform a set of operations. The operations include receiving radiation detection data; generating a scan representation; identifying a primary fat target; determining an amount of fat in the primary fat target; comparing the amount of fat in the primary fat target to a reference; and based on the comparison, correcting an estimated amount of lean tissue to generate a corrected muscle mass value.

Abstract: An object of the present invention is to provide a ground boundary estimation method, a ground boundary estimation apparatus, and a program that can acquire the elevation of the ground boundary of the electrical pole quickly and accurately even when the base of the electrical pole is shielded by any shield at observation of the electrical pole. According to the ground boundary estimation method of the present invention, a difference in height between the columnar shape of a three-dimensional model of a columnar object such as an observed electrical pole and a standard shape of the columnar object at a position in which the three-dimensional model and the standard shape are equal to each other in the horizontal dimension is determined, and a penetration depth prescribed by the standard is subtracted from the difference in height, to find a height of a shielded portion of the ground boundary of the columnar object.

Abstract: An information processing apparatus (2000) includes a detection unit (2020), a state estimation unit (2040), and a height estimation unit (2080). The detection unit (2020) detects a target person from a video frame. The state estimation unit (2040) estimates a state of the detected target person. The height estimation unit (2080) estimates a height of the person on the basis of a height of the target person in the video frame in a case where the estimated state satisfies a predetermined condition.

Abstract: A display control unit displays a medical image from which at least one region of interest is extracted on a display unit. A correction unit corrects a boundary of the region of interest according to a correction instruction for the boundary of the region of interest extracted from the displayed medical image. An image generation unit generates a weighted image in which each pixel in the medical image has, as a pixel value of each pixel, a weight coefficient representing a weight of being within the region of interest, by setting an initial weight coefficient for the extracted region of interest and setting a corrected weight coefficient for a corrected region for which the correction instruction is given in the medical image.