Abstract: A notification system notifies users when there is a match between images. The notification system includes a network interface receiving images from a plurality of user devices including a first user device and a second user device, a memory storing database and instructions, and a processor. The processor executes the instructions to function as an image processing unit processing the received images, a face recognition unit recognizing one or more faces in each received image, a face matching unit checking whether a face in a first image from the first user device matches a face in a second image from the second user device, a metadata processing unit processing metadata in each received image, and a notification unit notifying the first user device and the second user device in a case where the face in the first image matches the face in the second image.

Abstract: Methods and apparatus for providing quasi-licensed spectrum access within an area or venue. In one embodiment, the quasi-licensed spectrum utilizes 3.5 GHz CBRS (Citizens Broadband Radio Service) spectrum allocated by a Federal or commercial SAS (Spectrum Access System) to a managed content delivery network that includes one or more wireless access nodes (e.g., CBSDs and APs) in data communication with a controller. In one variant, the controller dynamically allocates (i) spectrum within the area or venue within CBRS bands, and (ii) MSO users or subscribers to CBRS bands or WLAN (e.g., public ISM) bands in to manage interference between the coexisting networks, and maximize user experience. In another variant, the controller cooperates with a provisioning server to implement a client device application program or “app” on MSO user or subscriber client devices which enables inter-RAT access.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using a surfel map to generate long range localization. One of the methods includes obtaining, for a particular location of a vehicle having a camera and a detection sensor, surfel data including a plurality of surfels. Each surfel in the surfel data has a respective location and corresponds to a different respective detected surface in an environment. Image data captured by the camera is obtained. It is determined that a region of interest for detecting objects for a vehicle planning process is outside a detectable region for the detection sensor. In response, it is determined that the image data for the region of interest matches surfel color data for the surfels corresponding to the region of interest. In response, the vehicle planning process is performed with the region of interest designated as having no unexpected objects.

Abstract: Techniques are provided for determining classifications based on WSIs. A varied-size feature map is generated for each training WSI by generating a grid of patches for the training WSI, segmenting the training WSI into tissue and non-tissue areas, and converting patches comprising the tissue areas into tensors. Bounding boxes are generated based on the patches comprising tissue areas and segmented into feature map patches. A fixed-size feature map is generated based on a subset of the feature map patches. A classifier model is trained to process fixed-size feature maps corresponding to the training WSIs such that, for each fixed-size feature map, the classifier model is operable to assign a WSI-level tissue or cell morphology classification or regression based on the tensors. A classification engine is configured to use the trained classifier model to determine a WSI-level tissue or cell morphology classification or regression for a test WSI.

Abstract: One embodiment of the present invention provides a computer implemented method for generating a training set to train a convolutional neural network comprising the steps of providing prediction space data to a General Logic Gate Module (GLGM). Prediction space expert judgement is also provided to the GLGM and to a sensitivity and importance module. The GLGM determines or outputs state possibilities. The state possibilities are provided to the sensitivity and importance module and to the feature extraction module. Feature extraction algorithms are applied to the state possibilities within the feature extraction module to produce a training possibility set that is a virtual training possibility set. The training possibility set is provided to a state inferential module and to a final training set.

Abstract: A method for localizing, in a space containing at least one determined object, an object element associated to a particular 2D representation element in a determined 2D image of the space, may have: deriving a range or interval of candidate spatial positions for the imaged object element on the basis of predefined positional relationships); restricting the range or interval of candidate spatial positions to at least one restricted range or interval of admissible candidate spatial positions, wherein restricting includes at least one of: limiting the range or interval of candidate spatial positions using at least one inclusive volume surrounding at least one determined object; and limiting the range or interval of candidate spatial positions using at least one exclusive volume surrounding non-admissible candidate spatial positions; and retrieving, among the admissible candidate spatial positions of the restricted range or interval, a most appropriate candidate spatial position on the basis of similarity metrics

Abstract: Concepts and technologies disclosed herein are directed to image classification attack mitigation. According to one aspect of the concepts and technologies disclosed herein, a system can obtain an original image and reduce a resolution of the original image to create a reduced resolution image. The system can classify the reduced resolution image and output a first classification. The system also can classify the original image via deep learning image classification and output a second classification. The system can compare the first classification and the second classification. In response to determining that the first classification and the second classification match, the system can output the second classification of the original image. In response to determining that the first classification and the second classification do not match, the system can output the first classification of the original image.

Abstract: A laser detection system including at least one laser device projecting a light curtain, and a controller is provided. The controller includes a processor and non-transitory, processor-readable memory including executable instructions that, when executed by the processor, cause the controller to receive a signal from the at least one laser device, the signal including an interference point of an object with the light curtain, and distance data indicating a distance between the interference point and the at least one laser device, determine a location at which the object enters the light curtain based on the distance between the interference point and the at least one laser device, and identify an item of a plurality of items located in an area behind the light curtain and corresponding to the location at which the object enters the light curtain.

Abstract: A sidewalk information generation device includes a thinning unit configured to perform thinning processing for extracting, from image data indicating an area of a sidewalk, a centerline in a width direction of the area of the sidewalk, a segmentation unit configured to perform segmentation processing for dividing the centerline extracted by the thinning unit in a longitudinal direction to generate a plurality of lines, and a vectorization unit configured to convert each of the plurality of lines generated by the segmentation unit to vector data indicating a coordinate sequence of a plurality of line segments.

Abstract: A computer implemented method of identifying contacts of an electrode implanted into the brain of a subject via bolts through the skull of the subject, based on an image of the subject, the method comprising: identifying at least one bolt region of the image corresponding to a bolt; identifying one or more contact regions of the image corresponding to electrode contacts; determining contact regions associated with an identified bolt region by searching for identified contact regions, the search being performed based on a search axis extending from the identified bolt region, the direction of the search axis being determined based on the identified bolt region.

Abstract: A system performs identification system enrollment and validation and/or authentication. In some examples, the system receives a digital representation of a biometric for a person from a device, biographic information for the person, and monitoring of capture of the biometric and determines whether the biometric is genuine. In others, the system obtains data from a network search using the biometric and the information, generates a comparison of the biometric and the information to the data from the network search, and uses the comparison to determine whether the person is who the person asserts. In still others, the system performs a number of identity checks using the information and the biometric, weights certainty and risk of each of the number of identity checks, and determines whether to approve the person for identification system enrollment using an aggregation of the identity checks.

Abstract: A mechanism is provided to implement an action-object interaction detection mechanism for recognizing actions in cluttered video scenes. An object bounding box is computed around an object of interest identified in a corresponding label in an initial frame where the object of interest appears in the frame. The object bounding box is propagated from the initial frame to a subsequent frame. For the initial frame and the subsequent frame: the object bounding boxes of the initial frame and the subsequent frame are refined and cropped based on the associated refined object bounding boxes. The set of cropped frames are processed to determine a probability that an action that is to be verified from the corresponding label is being performed. Responsive to determining the probability is equal to or exceeds a verification threshold, a confirmation is provided that the action-object interaction video performs the action that is to be verified.

Abstract: A mobile application running on a host mobile device is used to control the display of notifications, received by the host mobile device, on a mobile device cover. A single button on the mobile device cover is used to display, configure, and navigate through functionality menus of functions provided by the mobile device cover.

Abstract: An apparatus, system and method for providing a visual search using augmented reality glasses. The apparatus, system and method include a network communicatively associated with the glasses capable of providing remote connectivity to an application programming interface (API); a machine learning (ML) model communicative with the API and having an input capable of receiving live video data indicative of a view field of the glasses, wherein the ML model includes at least a data comparator and platform-specific coding corresponded to the glasses; a search engine within the ML model and having a secondary input interfaced to a comparative database, wherein the search engine compares the live view field video data to the secondary input using the comparator; and a match output capable of outputting a match obtained by the search engine over the network to the glasses.

Abstract: The present invention relates to a method and apparatus for collecting and/or pre-processing data related to feeding animals in water. More particularly, the present invention relates to a method and apparatus for minimising wasted feed used in a fish farm. According to an aspect, there is a provided a computer-implemented method for detecting motion in relation to one or more aquatic animals, the method comprising the steps of: receiving sensor data; determining from the sensor data one or more moving objects using one or more learned functions; and generating output data in relation to the determined one or more moving objects.

Abstract: An image determination device includes feature extractors which output, on the basis of an image to be examined, each piece of feature data indicating a specific feature of the image; a first training part which trains a first determiner so as to output first output data indicating first label data associated with a first training image on the basis of first feature data output when the first training image is input to the feature extractors; a second training part which trains a second determiner so as to output second output data indicating second label data associated with a second training image on the basis of second feature data output when the second training image is input to the feature extractors; and an output part which outputs, on the basis of the first output data and the second output data, output data indicating an overall determination result about an image.

Abstract: An image processing apparatus comprises processing circuitry configured to: obtain a respective identity and location for each of a first plurality of landmarks in a reference volume; obtain a respective weighting for each landmark of the first plurality of landmarks; obtain a respective identity and location for each of a second plurality of landmarks in a further volume; and determine a transform based on a fit between the first plurality of landmarks and the second plurality of landmarks, wherein the fit is determined in dependence on the weightings.

Abstract: A method is provided. The method includes identifying pixels indicative of motion based on a frame of pixels; selecting a region of interest within the frame based on the pixels indicative of motion, the region being a subset of the frame of pixels and including the pixels indicative of the motion; identifying an object based on pixels within the region; and issuing an alarm in response to the region including both the object and the pixels indicative of motion.

Abstract: Systems and methods include determination of an entropy value associated with each of a plurality of voxels of a three-dimensional image, determination, for each of the plurality of voxels, of a respective filter based on the entropy value associated with the voxel, wherein a first filter determined for a first voxel associated with a first entropy value is different from a second filter determined for a second voxel associated with a second entropy value different from the first entropy value, application, for each of the plurality of voxels, of the respective filter to a value of the voxel to generate a replacement value for the voxel, and generation of a filtered three-dimensional image based on the generated replacement value of each of the plurality of voxels.

Abstract: Method and system for displaying one or more regions of interest of an original image. For example, a computer-implemented method for displaying one or more regions of interest of an original image includes: obtaining one or more detection results of one or more first regions of interest, each detection result of the one or more detection results corresponding to one first region of interest of the one or more first regions of interest, each detection result including image information and one or more attribute parameters for their corresponding first region of interest; and obtaining one or more attribute parameter thresholds provided by a user in real time, each attribute parameter threshold of the one or more attribute parameter thresholds corresponding to one attribute parameter of the one or more attribute parameters.