Abstract: Video sources and inertial sensors are attached to a weapon and to goggles. A computer receives video images from the weapon- and goggles-mounted sources and inertial data from the sensors. The computer calculates a location for an image from the weapon-mounted source within an image from the goggles-mounted source using the inertial sensor data. The sensor-based location is checked (and possibly adjusted) based on a comparison of the images. A database contains information about real-world objects in a field of view of the goggles-mounted source, and is used to generate icons or other graphics concerning such objects.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for parallel processing of video frames using neural networks. One of the methods includes receiving a video sequence comprising a respective video frame at each of a plurality of time steps; and processing the video sequence using a video processing neural network to generate a video processing output for the video sequence, wherein the video processing neural network includes a sequence of network components, wherein the network components comprise a plurality of layer blocks each comprising one or more neural network layers, wherein each component is active for a respective subset of the plurality of time steps, and wherein each layer block is configured to, at each time step at which the layer block is active, receive an input generated at a previous time step and to process the input to generate a block output.

Abstract: An external environment recognition device includes: a plurality of external environment recognition sensors each having an information detection unit that detects information of an object outside a vehicle, the plurality of external environment recognition sensors being arranged such that a detection range of the information detection unit includes an overlapping region where at least part of the detection range of the information detection unit overlaps with at least part of the detection range of another one of the information detection units; and a synchronous processing unit that extracts identical objects in the overlapping region from detection results of the external environment recognition sensors, and performs synchronous processing to synchronize the plurality of external environment recognition sensors if there is a deviation in position between the identical objects in the overlapping region.

Abstract: Systems, devices, and methods redact one or more light-emitting screens in data recorded on a recording device. The redaction may include receiving recorded data comprising a plurality of pixel values. The redaction may include detecting one or more light-emitting screens in the received image. The redaction may include redacting a subset of the pixel values from the recorded associated with the one or more detected light-emitting screens. The redaction may be commonly applied to multiple frames of recorded data through the use of a unique identifier assigned to a same detected light-emitting screen. A same light-emitting screen may be tracked across multiple non-sequential or sequential frames and assigned a same unique identifier.

Abstract: Techniques related to parallel partitioning and coding mode selection for improved video coding throughput are discussed. Such techniques include performing parallel partitioning and coding mode selection for a lower-right coding unit of a first largest coding unit and an upper-left coding unit of a second largest coding unit to the right of the first largest coding unit and, immediately subsequent thereto, performing parallel partitioning and coding mode selection for a lower-left coding unit and an upper-right coding unit of the second largest coding unit.

Abstract: A prediction method, including: creating a candidate list corresponding to a coding mode for the coding mode used by a coding block in an original picture, wherein the coding mode includes a first affine motion mode or a second affine motion mode, a reference block in the candidate list is spatially adjacent to the coding block, and the reference block is coded using the first affine motion mode or the second affine motion mode; performing affine motion estimation on the coding block according to the candidate list corresponding to the coding mode to obtain coding parameters corresponding to the coding block; and performing predictive coding on the coding block on the basis of the coding parameters corresponding to the coding block.

Abstract: An endoscope. One or more image sensors are designed to capture image data in visible light. One or more image sensors are designed to capture image data in a nonvisible portion of the electromagnetic spectrum. An insertion shaft is designed to support the visible and nonvisible image sensors at or near a distal tip with sufficient rigidity to permit guidance to a surgical site in a human body. Image processing software is trained through machine learning to enhance image quality of at least the nonvisible portion of the image, and to present the enhanced nonvisible image as a real-time, visible presentation to a surgeon. A handle has electronics for drive of illumination circuitry and to receive imaging signal from the imaging circuitry. A joint between the proximal handle portion and the insertion shaft is designed to separably connect the insertion shaft to the proximal handle portion. When separated, the joint permits removal of the insertion shaft for disposal and replacement.

Abstract: An apparatus includes imaging optics having an objective lens configured to focus electromagnetic radiation to an intermediate image plane and one or more optical devices configured to generate an optical beam from the electromagnetic radiation. The apparatus also includes at least one imaging sensor configured to capture an image from the optical beam. The apparatus further includes a beam generator configured to generate and transmit an HEL beam through the imaging optics. In addition, the apparatus includes an intermediate alignment target configured to be moveably positioned at the intermediate image plane. The intermediate alignment target includes a first-wavelength target configured to reflect a first spectral band of the HEL beam to a first of the at least one imaging sensor (the first imaging sensor configured to capture a first-wavelength infrared image of the first spectral band) and transmit remaining spectral portions of the HEL beam towards the objective lens.

Abstract: A control device for a mobile object including one or more imaging devices, the control device includes an image acquisition unit configured to acquire an image of an external environment of the mobile object from the one or more imaging devices, a correction unit configured to perform distortion reduction processing for reducing distortion of an image for each of one or more regions included in an image acquired from the one or more imaging devices, and a recognition unit configured to recognize the external environment of the mobile object based on an image on which the distortion reduction processing has been performed. The correction unit is configured to determine the one or more regions to be a target of the distortion reduction processing in accordance with a predetermined rule according to a moving scene of the mobile object.

Abstract: Aspects of the disclosure provide methods and apparatuses for video coding. In some examples, an apparatus includes processing circuitry that obtains motion information of a group of blocks in a picture from a coded video bitstream, the motion information indicating base motion vectors for the group of blocks, and the base motion vectors pointing to a reference picture in a prediction list. The processing circuitry determines a range of target motion vectors for the group of blocks along a particular coordinate direction according to the base motion vectors and a target difference, where, for any two motion vector within the range, a difference of integer-pixel parts thereof along the particular coordinate direction is equal to or less than the target difference. The processing circuitry further converts the base motion vectors into the target motion vectors according to the range for reconstructing samples of the group of blocks.

Abstract: In a method for imaging a container holding a sample, the container is illuminated with a laser sheet of a first color, and one or more images of the container are capturing by a first imager configured to filter out colors other than the first color. Simultaneously with illuminating the container with the laser sheet of the first color, the container is illuminated with light of a second color different than the first color, wherein the light of the second color illuminates at least a majority of an entire volume of the container. One or more additional imagers of the container are captured by a second imager configured to filter out colors other than the second color. The one or more images and the one or more additional images are analyzed to detect particles within, and/or on an exterior surface of, the container.

Abstract: Subject matter described herein includes generating a visual environment for interactive development of a machine learning (ML) model. The method includes accessing observations of data each of which includes values of independent variables and a dependent variable. The method includes performing an interactive feature construction and selection in which select independent variables are selected as or transformed into a set of features for use in building a ML model to predict the dependent variable. The method includes building the ML model using a ML algorithm, the set of features, and a training set produced from the set of features and observations of the data. And the method includes outputting the ML model for deployment to predict the dependent variable for additional observations of the data.

Abstract: A proximity alarm assembly includes a personal electronic device that has wireless communication capabilities. A camera unit has a plurality of cameras facilitate 360.0 degree video surveillance of an area. A motion unit has a plurality of sensors to facilitate 360.0 motion surveillance of the area. Each of the motion unit and the camera unit is in wireless communication with the personal electronic device. Moreover, the personal electronic device produces an alert when motion unit senses motion to alert a user to the motion. An alert unit is positionable near the user and the alert unit is actuated to emit an audible alert and a visual alert when either of the camera unit or the motion unit fails to communicate with the personal electronic device.

Abstract: A vehicular driver monitoring system includes a camera disposed within and viewing within an interior cabin of a vehicle. The camera includes a lens and an image sensor. The camera is operable to capture image data. Electronic circuitry of an electronic control unit (ECU) includes an image processor for processing image data captured by the camera. With a driver of the vehicle sitting in a driver seat of the vehicle, light is reflected off a portion of the driver to impinge at the lens of the camera. The vehicular driver monitoring system, via processing at the ECU of image data captured by the camera, determines a deficiency in captured image data arising from light impinging at the lens. The determined deficiency in captured image data arises from an occlusion at the lens of the camera.

Abstract: A data processing apparatus for executing data processing using a neural network including a plurality of hierarchal levels includes an extraction unit configured to extract intermediate feature data from input feature data, a calculation unit configured to calculate output feature data by reducing the number of channels of the intermediate feature data, a storage unit configured to store the output feature data calculated by the calculation unit and provide the input feature data to the extraction unit, and a control unit configured to control the number of channels of the intermediate feature data to be extracted by the extraction unit and the number of channels of the output feature data to be calculated by the calculation unit.

Abstract: Systems, methods and apparatus for video processing are described. The video processing may include video encoding, video decoding, or video transcoding. One example method of video processing includes performing a conversion between a video and a bitstream of the video according to a format rule. The format rule specifies that constraints on values of one or more first syntax elements in an adaptation parameter set are defined based on semantics of second syntax elements in a picture header and/or a slice header if a picture or a slice referring to the adaptation parameter set.

Abstract: A battery-powered camera includes a system processor configured to operate in a standby mode or a full-power mode. While operating the system processor in the standby mode, the camera detects an event in a field of view of the camera; records, using an image sensor of the camera, a plurality of image frames corresponding to the field of view in which the event was detected; stores in a frame buffer the plurality of image frames; and wakes the system processor from the standby mode. While operating the system processor in the full-power mode, the camera processes the plurality of image frames stored in the frame buffer using the system processor; and provides the processed image frames for streaming.

Abstract: A device captures images of a plurality of objects, such as a bottle and a syringe, for the secure production of medicinal preparations. The device includes at least one pair of image capturing cameras, arranged one facing the other; one reflective element for each of the cameras; and the two reflective elements of the same camera pair being arranged between the cameras and each oriented so as to reflect, in the direction of the associated camera, images of a production area of a medicinal preparation. The image capture device additionally includes: a stationary part formed by positioners that are designed to be secured against an enclosure of the medicinal preparation production area, a base which is intended to be secured to the stationary part, and a half-baseplate which is mounted such that it can rotate relative to the base, with the half-baseplate carrying at least one of the cameras.

Abstract: A system for adjusting a sensor of a vehicle comprises: a base unit; a support structure connected to the base unit; and a vehicle calibration assistance structure mounted on the support structure and including a target panel, which has a surface facing forward towards a service area. The surface of the target panel bears a combination of predetermined graphical features, and the vehicle is positioned in the service area. A processing system is operatively connected to the vehicle calibration assistance structure. A positioning device aids with the relative positioning between the vehicle and the vehicle calibration assistance structure.

Abstract: Systems and methods for generating images from an autonomous vehicle ride. Systems and methods are provided for determining whether a vehicle route passes a photogenic location and, if so, capturing an image at the photogenic location. The user can be provided with an option to take a detour to a nearby photogenic location. Additionally, a route can be selected based on one or more photogenic locations along the route. Captured images are provided to the user.