Abstract: The present invention is directed to a helmet wearing determination system including a imaging means that is installed in a predetermined position and images a two-wheel vehicle that travels on a road; and a helmet wearing determination means that processes an image imaged by the imaging means, estimates a rider head region corresponding to a head of a person who rides on the two-wheel vehicle that travels on the road, compares image characteristics of the rider head region with image characteristics according to the head at a time when a helmet is worn or/and at a time when a helmet is not worn, and determines whether or not the rider wears the helmet.

Abstract: The present application discloses a method and apparatus for annotating point cloud data. A specific implementation of the method includes: collecting data in a given scenario by using a laser radar and a non-laser radar sensor to respectively obtain point cloud data and sensor data; segmenting and tracking the point cloud data to obtain point cloud segmentation and tracking results; recognizing and tracking feature objects in the sensor data to obtain feature object recognition and tracking results; correcting the point cloud segmentation and tracking results by using the feature object recognition and tracking results, to obtain confidence levels of the point cloud recognition and tracking results; and determining a point cloud segmentation and tracking result whose confidence level is greater than a confidence level threshold as a point cloud annotation result. This implementation reduces the amount of manual work required for annotating point cloud data, thereby reducing the annotation costs.

Abstract: A computer-implemented method for analyzing digital holographic microscopy (DHM) data for hematology applications includes receiving a DHM image acquired using a digital holographic microscopy system. The DHM image comprises depictions of one or more cell objects and background. A reference image is generated based on the DHM image. This reference image may then be used to reconstruct a fringe pattern in the DHM image into an optical depth map.

Abstract: In general, the subject matter described in this disclosure can be embodied in methods, systems, and program products for detecting motion in images. A computing system receives first and second images that were captured by a camera. The computing system generates, using the images, a mathematical transformation that indicates movement of the camera from the first image to the second image. The computing system generates, using the first image and the mathematical transformation, a modified version of the first image that presents the scene that was captured by the first image from a position of the camera when the second image was captured. The computing system determines a portion of the first image or second image at which a position of an object in the scene moved, by comparing the modified version of the first image to the second image.

Abstract: An information processing apparatus according to an embodiment of the present technology includes a detection unit, an estimation unit, and a prediction unit. The detection unit detects a target object from an input image. The estimation unit estimates a posture of the detected target object. The prediction unit predicts an action of the target object on a basis of the estimated posture.

Abstract: According to an embodiment of the present disclosure, an electronic device may comprise an image sensor and one or more processors configured to obtain a first plurality of image frames for an external object as per a first frame rate, detect a variation associated with the external object, when the variation meets a designated condition, obtain a second plurality of image frames for the external object as per the first frame rate or a second frame rate, generate a first portion of a video using at least some of the first plurality of image frames, generate a second portion of the video using at least some of the second plurality of image frames, and generate a third portion of the video using at least some of a third plurality of image frames for the external object obtained as per the first frame rate or a third frame rate.

Abstract: Disclosed herein are computer-implemented methods; computer-implemented systems; and non-transitory, computer-readable media, for quantifying text similarity. One computer-implemented method includes obtaining a plurality of shortest operation paths including one or more edit pairs for correcting an optical correction recognition (OCR) text string with an edit text string, where each of the one or more edit pairs denotes an operation performable to a character of the OCR text string during correction by the edit text string. A plurality of similarity scores is determined, each corresponding to one of the plurality of shortest operation paths and determined by summing historical similarity scores of the one or more edit pairs of each of the plurality of shortest operation paths. A minimum one of the plurality of similarity scores is selected to quantify text similarity between the OCR text string and the edit text string.

Abstract: A method for estimating body orientation includes: executing extraction processing for extracting a person region from images; executing an identification processing for identifying a left site and a right site in the person region; executing calculation processing for calculating a left moving amount and a right moving amount; and executing estimation processing for estimating body orientation in the person region based on a first difference and relation information, the first difference being a difference between the left moving amount and the right moving amount, the relation information including first and second relation information, the first relation information indicating a relationship between the first difference and a change amount when the left moving amount is larger than the right moving amount, and the second relation information indicating a relationship between the first difference and the change amount when the right moving amount is larger than the left moving amount.

Abstract: A method may include extracting feature-data from an image which includes location data that indicates multiple locations within the image and multiple feature vectors that each correspond to one of the multiple locations. Each feature vector may represent a feature of an object in the image. The method may include determining a feature-data plot based on relative positions of the multiple locations and selecting a grid for the feature-data plot. The method may include generating a first representative feature vector for a first cell of the grid based on a first feature vector set and generating a second representative feature vector for a second cell of the grid based on a second feature vector set. The method may include generating a single feature vector that represents the object in the image based on the first representative feature vector and the second representative feature vector and encrypting the single feature vector.

Abstract: Embodiments of the present invention provide systems and methods to detect a moving anatomic feature during a treatment sequence based on a computed and/or a measured shortest distance between the anatomic feature and at least a portion of an imaging system.

Abstract: A calibration sheet is located at a first position where its surface substantially corresponds to the expected position of a patient surface lying on a mechanical couch during treatment. Images of the calibration sheet are obtained and processed to ascertain relative locations and orientations of the image detectors obtaining the images and optical distortion parameters indicative of optical distortions present in the obtained images of the calibration sheet. The calibration sheet is then re-located to a known position relative to the iso-centre of the treatment apparatus and images of the re-located calibration sheet are obtained and processed to determine a transform corresponding to the relocation of the calibration sheet from the first position to the iso-centre of the treatment apparatus. Data indicative of optical distortions present in the images and data indicative of the locations and orientations of the image detectors relative to the iso-centre of the treatment apparatus are stored.

Abstract: A method for fabricating a custom cranial remodeling device for correction of cranial deformities in a subject is described. The method comprises generating a three-dimensional head data file for the subject; identifying predetermined reference points on the head; automatically selective utilizing the predetermined reference points to calculate contour lines on the head; automatically generating a modified head shape data file; juxtaposing the modified head shape with the head represented by the three-dimensional head data file having the contour lines thereon; utilizing the modified head shape data file to generate a shape for a desired custom cranial remodeling device, the shape having an interior surface to contact the head and an outer surface; projecting lines outward from the contour lines to the outer surface; and utilizing the projected lines to establish cranial remodeling device contour lines for the custom cranial remodeling device.

Abstract: A system and method for multi-modality fusion for 3D printing of a patient-specific organ model is disclosed. A plurality of medical images of a target organ of a patient from different medical imaging modalities are fused. A holistic mesh model of the target organ is generated by segmenting the target organ in the fused medical images from the different medical imaging modalities. One or more spatially varying physiological parameter is estimated from the fused medical images and the estimated one or more spatially varying physiological parameter is mapped to the holistic mesh model of the target organ. The holistic mesh model of the target organ is 3D printed including a representation of the estimated one or more spatially varying physiological parameter mapped to the holistic mesh model. The estimated one or more spatially varying physiological parameter can be represented in the 3D printed model using a spatially material property (e.g.

Abstract: Described is a system and method for generating a unique signature for a space. During operation, the system causes a mobile platform to make one or more passes through the space along a repeatable path. While moving through the space, the system captures an image of the space around the mobile platform. A filter is applied to the image to generate vertical bins, the vertical bins being one-dimensional vectors of the space around the mobile platform. The one-dimensional vectors are combined over time to create a two-dimensional trace, with the two-dimensional trace being a unique signature for the space.

Abstract: An alignment method for manufacturing a mask integration framework is disclosed. The alignment method includes establishing an absolute coordinate system by taking a center of a metal framework as an origin of coordinates, the center of the metal framework coinciding with a center of an array substrate serving as a reference, controlling the array substrate to move, such that an offset of coordinates of a pixel point under the absolute coordinate system with respect to a predetermined theoretical value is smaller than or equal to a predetermined error value, and transmitting the coordinates of the pixel point under the absolute coordinate system, after the array substrate moves, to a tension device. An alignment system for manufacturing mask integration framework is also disclosed.

Abstract: Described are methods for identifying the in-field positions of plant features on a plant by plant basis. These positions are determined based on images captured as a vehicle (e.g., tractor, sprayer, etc.) including one or more cameras travels through the field along a row of crops. The in-field positions of the plant features are useful for a variety of purposes including, for example, generating three-dimensional data models of plants growing in the field, assessing plant growth and phenotypic features, determining what kinds of treatments to apply including both where to apply the treatments and how much, determining whether to remove weeds or other undesirable plants, and so on.

Abstract: A method and system to refine coding of P-phase data, includes receipt of an input P-phase data block. The P-phase data block may comprise a plurality of entropy coded bits and a plurality of un-coded bits of P-phase data values. A refinement step size is determined for the received input P-phase data block, based on a count of refinement bits available for coding of the plurality of un-coded bits and a block size of the input P-phase data block. A refinement start position is also determined for the received input P-phase data block. The plurality of un-coded bits of the P-phase data values are refined by allocation of the refinement bits in one or more bit-planes of the input P-phase data block, based on the determined refinement step size and the determined refinement start position.

Abstract: Systems and methods are disclosed for determining anatomy directly from raw medical acquisitions using a machine learning system. One method includes obtaining raw medical acquisition data from transmission and collection of energy and particles traveling through and originating from bodies of one or more individuals; obtaining a parameterized model associated with anatomy of each of the one or more individuals; determining one or more parameters for the parameterized model, wherein the parameters are associated with the raw medical acquisition data; training a machine learning system to predict one or more values for each of the determined parameters of the parametrized model, based on the raw medical acquisition data; acquiring a medical acquisition for a selected patient; and using the trained machine learning system to determine a parameter value for a patient-specific parameterized model of the patient.

Abstract: Methods and systems for characterizing fluids from a patient are disclosed. The method includes receiving a time series of images of a conduit receiving fluids from the patient, identifying a conduit image region in each of the images, classifying a flow type through the conduit based on an evaluation of the conduit image region in the time series of images, and estimating at least one of a volume of fluids and a quantity of a blood component that has passed through the conduit within a predetermined period of time, based at least in part on the classification of the flow type.

Abstract: A scalable tracking system processes video of a space to track the positions of people within a space. The tracking system determines local coordinates for the people within frames of the video and then assigns these coordinates to time windows based on when the frames were received. The tracking system then combines or clusters certain local coordinates that have been assigned to the same time window to determine a combined coordinate for a person during that time window.