Abstract: The technology provides a method and system of analyzing a sporting activity. An example of the technology involves one or more processors receiving location data associated with a first player and location data associated with a second player, wherein the location data of the first player and the location data of the second player are derived from one or more sensor devices; detecting a game event associated with the first player; determining, in view of the received location data, a plurality of locations of the first player and at least one location of the second player; and classifying the game event based on the plurality of locations of the first player and the at least one location of the second player.

Abstract: A computer implemented method of identifying a behavior of objects detected in a video stream, comprising using one or more processors adapted for receiving a video stream comprising a plurality of frames captured by imaging sensor(s), applying a first set of trained classification functions for visually analyzing each of at least a subset of the frames to create a semantic attribute set for each object detected in each frame comprising an object probability score indicative of the object class probability, attribute probability score(s) indicative of probability of attribute(s) associated with the object and estimated location of the object, applying a second set of trained classification functions for semantically analyzing the attribute sets created for each object tracked in the subset to calculate a behavior probability score indicative of action(s) estimated to be conducted by each object and outputting an indication when the calculated behavior probability score complies with predefined rule(s).

Abstract: In some embodiments, a method for determining a deformity in a bone surface comprises performing a scan of a healthy bone and a diseased bone; creating 3-dimensional (3D) representations of a current surface of the diseased bone; constructing an estimated healthy surface in 3D for the diseased bone based on the surface of the healthy bone; and identifying a deformity in the diseased bone by comparing the estimated healthy surface to the current surface of the diseased bone. In some embodiments, the scan is performed using high resolution peripheral quantitative computed tomography (HR-pQCT).

Abstract: According to a first aspect, the invention relates to a method to support clinical decision by characterizing images acquired in sequence through a video medical device. The method comprises defining at least one image quantitative criterion, storing sequential images in a buffer, for each image (10) in the buffer, automatically determining, using a first algorithm, at least one output based on said image quantitative criterion and attaching said output to a timeline (11).

Abstract: A method includes receiving first intraoral scan data of an intraoral site, the first intraoral scan data having been generated at a first time, receiving second intraoral scan data of the intraoral site, the second intraoral scan data having been generated at a second time that is later than the first time, and analyzing the second intraoral scan data of the intraoral site relative to the first intraoral scan data of the intraoral site. The method further includes identifying an area of interest (AOI) based on the analyzing and removing data for the AOI from at least one of the first intraoral scan data, the second intraoral scan data, or a three-dimensional (3D) model of the intraoral site generated from the first intraoral scan data and the second intraoral scan data.

Abstract: An object detection system for used in a vehicle includes an object detector is provided. One or more fisheye lens cameras coupled to an object detection system are positioned at various location of the vehicle for capturing a field of view (FOV) into an image. The image is split into multiple different set of perspective images. Each perspective images may include a portion of overlap having common or identical object of interest. The object detector classifies various objects of interest in the perspective images, estimates distance of objects of interest from the vehicle using camera calibration information stored in one of the camera, and transmits the sensed information that corresponds to the distance of interest to a processor.

Abstract: An information processing apparatus includes an acquisition section that acquires first information indicating whether or not a target person performs a specific behavior on a target object disposed in plural places and second information indicating a behavior of the target person and including a stay time in the plural places, for each target person, a calculation section that calculates an evaluation value indicating a probability of the target person who has not performed the specific behavior performing the specific behavior on the target object, based on the acquired first information, and an estimation section that extracts data on the target object disposed in the place having a stay time which is smaller than a predetermined value, based on the acquired second information, and estimates an opportunity loss for the target object based on the evaluation value calculated for the target object.

Abstract: Determining a movement of an object may include obtaining an event stream corresponding to a scene over time, wherein the event stream includes events associated with detected changes in brightness, wherein each event includes a pixel location, a timestamp, and a brightness indication; selecting a first subset of pixels from the plurality of pixels corresponding to an object for a first time period; determining a first movement of the object based on the brightness indications and timestamps for the first subset of pixels; determining that the first movement is insufficient to generate a velocity measure; selecting, based on the first movement, a second subset of pixels associated with the object for a second time period; determining an updated movement of the object based on the brightness indications and timestamps for the second subset of pixels and the first movement; and generating a velocity measure based on the updated movement.

Abstract: Exemplary embodiments relate to applications for facial recognition technology and facial overlays to provide gesture-based music track generation. Facial detection technology may be used to analyze a video, to detect a face, and to track the face as a whole (and/or individual features of the face). The features may include, e.g., the locations of the mouth, direction of the eyes, whether the user is blinking, the location of the head in three dimensional space, the movement of the head, etc. Expressions and emotions may also be tracked. Features/expressions/emotions meeting certain conditions may trigger an event, where events may cause a predetermined musical element to play (e.g., drum beat, piano note, guitar chord, etc.). The sum total of the musical elements played may result in the creation of a musical track. The application of events may be balanced based on musical metrics in order to provide a fluent sound.

Abstract: Disclosed are devices, systems, methods, techniques, and computer program products for estimating a Region Of Interest (ROI) corresponding to a plurality of content streams. The method may include receiving, by a system having at least one processor, a plurality of sensor data associated with a plurality of mobile devices. The plurality of sensor data corresponds to a plurality of content streams captured by the plurality of mobile devices. Further, each of the plurality of mobile devices may include at least one recorder configured to capture a corresponding content steam. Further, a sensor data associated with a mobile device may include a location data and an orientation data of the mobile device during capturing of a content stream. The method may further include, analyzing, by the system, the plurality of sensor data and determining, by the system, a ROI based on at least the plurality of sensor data, thereby generating an estimation of the ROI.

Abstract: A system and method for determining car to lane distance is provided. In one aspect, the system includes a camera configured to generate an image, a processor, and a computer-readable memory. The processor is configured to receive the image from the camera, generate a wheel segmentation map representative of one or more wheels detected in the image, and generate a lane segmentation map representative of one or more lanes detected in the image. For at least one of the wheels in the wheel segmentation map, the processor is also configured to determine a distance between the wheel and at least one nearby lane in the lane segmentation map. The processor is further configured to determine a distance between a vehicle in the image and the lane based on the distance between the wheel and the lane.

Abstract: A lamp for a vehicle includes a lamp module configured to emit light; an interface unit configured to receive information; at least one processor; and a computer-readable medium having stored thereon instructions that, when executed by the at least one processor, cause the at least one processor to perform operations that include: receiving, through the interface unit, driving situation information of the vehicle; and controlling, based on the driving situation information, a resolution of light that is output from the lamp module.

Abstract: Techniques for estimating blepharoptosis from an image of a face are disclosed. The image is captured by a camera. Histogram of Oriented Gradients and Linear Classifiers are used to predict the location of the face and eyes. An Ensemble of Regression Trees is used to detect points on each eyelid and the canthi. The location of the iris is ascertained by thresholding HLS values of individual pixels and applying a sliding window algorithm. Using regression, the eyelid shape curve is approximated. The eyelid shape curve function is used to measure the MRD1 value and distance below the limbus after detecting the Purkinje image/corneal light reflex. Finally, the intensity of blepharoptosis is estimated by categorizing the measured MRD1 and distance-from-Limbus values.

Abstract: A system and method for object detection and classification includes receiving by a controller a first data of a scene, wherein the data reflects the scene at a first time, and performing a first classification of at least one object within the scene based on the data. The method includes determining a projected location of the at least one object corresponding to an estimated location at a second time. The method includes receiving a second data of the scene reflecting the scene at the second time. The method includes determining whether the projected location of the object corresponds to the location of the object as reflected by the second data. The method includes determining whether performing a second classification of the object is necessary based on the determination of whether the projected location corresponds to the location of the object reflected by the second data.

Abstract: A method and system for automatic landmark registration and registration using trajectory information and shape sensing during an endoscopic procedure, such as bronchoscopy, are described herein. A segmentation centerline of airways of a lung may be generated based on a pre-operative computed tomography (CT) image of the lung. Landmarks may be automatically detected on the segmentation centerline corresponding to bifurcations in the airways of the lung. A location data point cloud of locations of a catheter through the airways of the lung during navigation may be generated. A bounding volume of the airways of the lung may be generated and a bounding volume centerline may be detected. Landmarks may be detected on the bounding volume centerline for the same bifurcations. Then, the two sets of landmarks may be mapped as part of registration. The trajectory information with shape sensing may be used to provide non-rigid or fine registration.

Abstract: A method, system, and computer product for detecting a virtual object include transmitting a probe signal to objects, receiving an echo signal reflected by at least one object of the objects, generating scan data based on the echo signal, capturing one or more images of the objects, generating image data corresponding to the captured images, computing the scan data to identify each of the objects, computing the image data to identify each of the objects, and determining another object of the objects as a virtual object, responsive to determining that the another object is identified by the computation on the image data and is not identified by the computation on the scan data.

Abstract: Apparatuses and methods associated with preserving a level of confidence of authenticity of an object are disclosed herein. In embodiments, a method includes acquiring first information corresponding to a physical object; identifying first authentication data based on the first information; initializing a database record associated with the physical object responsive to identifying the first authentication data; determining whether the first authentication data corresponds to original provenance for the physical object; in response to determining that the first authentication data does not correspond to original provenance for the physical object, acquire and store in the database record first record data including authenticity information available in association with identification of the first authentication data; in response to determining that the first authentication data does correspond to original provenance for the physical object, retaining second record data in the database record.

Abstract: An image processing apparatus according to an embodiment comprises processing circuitry configured to acquire morphology image data including a site of a subject and function image data including the site, extract a blood vessel region that corresponds to a blood vessel included in the morphology image data, calculate a fluid index in the blood vessel region, and based on the fluid index, calculate a first function index as an index indicating a function of a tissue to which a nutrient is supplied from the blood vessel, acquire a second function index as an index indicating a function of the tissue based on the function image data, detect a mismatch between the first function index and the second function index, and determine a spatial region that corresponds to the mismatch in the site.

Abstract: One or more sensors may detect a gesture or gestures by one or more human users. The detected gesture or gestures may trigger sharing of music or other information. For instance, a first user may be listening to music on headphones. A second user may turn her head, so that her head is facing toward the first user. A sensor may detect this head orientation of the second user. This head orientation may trigger the system to share the first user's music with the second user, for at least as long as this head orientation continues.

Abstract: An object tracking method includes measuring ambient light by a camera to determine an ambient exposure value on the condition that an illuminating object being off, controlling the illuminating object to be on and configuring a luminance value of the illuminating object according to the ambient exposure value, and tracking the illuminating object based on at least one image captured from the camera by the ambient exposure value.