Abstract: Disclosed herein are system, method, and computer program product embodiments for compliance auditing using cloud based computer vision. In one aspect, a system is configured to receive, from a mobile device, a compliance audit request to at least recognize one or more products within the audit image. The system is further configured to select a first object recognition model having a first associated object recognition model identifier from a model selection list based at least on a required object recognition list, wherein the first object recognition model is configured to recognize a first set of object names within the required object recognition list. The system is further configured to request the computer vision system to perform object recognition using the first object recognition model to recognize the first set of object names within the audit image, and transmit audit result information to the mobile device.

Abstract: The present invention discloses a method and an apparatus for extracting mountain landscape buildings based on high-resolution remote sensing images. The method comprises: segmenting a remote sensing image, and extracting non-vegetation areas from the remote sensing image by using NDVI; segmenting the non-vegetation areas, and extracting building areas by using NDBI; segmenting the building areas again, and calculating a normalized difference build shadow index NSBI of each patch; calculating NSBI separator of each patch in the non-vegetation areas and setting a separator threshold, and extracting landscape building areas based on the threshold. In the present invention, by introducing a near infrared band in the remote sensing image spectrum, in which there is a significant difference between shadows and non-shadows, the influence of large shadow areas in mountainous shady areas in the remote sensing image on the result of extraction is reduced.

Abstract: A method, computer program, and computer system is provided for coding video data. Video data is received, and an edge present within a sample of the received video data is detected. A gradient value corresponding to a direction associated with the detected edge is calculated. The video data is decoded based on the calculated gradient.

Abstract: Described are various embodiments of a user activity-related monitoring system and method, and a user access authorization system and method employing same. In one embodiment, a system is provided for authenticating a user authorised to perform a designated activity in a designated environment. The system comprises a wireless digital user authentication device (UAD) operable to: wirelessly establish an authenticated access session at an access point within the designated environment for performing the designated activity; and acquire activity-related data during performance of the designated activity. The system further comprises a digital application operatively associated with the wireless digital UAD and operable to: digitally compare and evaluate compliance of the activity-related data with a digital authenticated activity template within a designated tolerance.

Abstract: A mobile device includes a Bluetooth transceiver, the Bluetooth transceiver being in an idle power state when not securely paired to a second Bluetooth transceiver of a peripheral device. The mobile device further includes an audio interface, the audio interface coupled to the Bluetooth transceiver, the audio interface configured to connect to a second audio interface of the peripheral device.

Abstract: Introduced here are technologies for examining an image of an airline passenger, while the passenger is onboard. The image may be examined for abnormalities, the passenger's mood, and/or the passenger's expression. The image analysis may be supplemented by data from a suite of sensors such as heart rate monitors, accelerometers, gyroscopes, and the like. The image and the sensor data are then analyzed to detect abnormalities, identify related recommendations, and suggest products and services offered onboard or at the destination that are related to the abnormalities and recommendations. The general purpose is to improve an airline passenger's travel experience while on board the flight.

Abstract: Examples disclosed herein may involve a computing system that is operable to (i) present, via a visual interface, a virtual shape associated with a three-dimensional (3D) coordinate system, (ii) present, via the visual interface, a visual indicator positioned in proximity to the virtual shape and indicating that a specified spatial parameter of the virtual shape will be modified along a specified dimension of the 3D coordinate system in response to a given type of user input associated with the visual indicator, (iii) while presenting the visual indicator, detect an instance of the given type of user input associated with the visual indicator, and (iv) after detecting the instance of the given type of user input, update the virtual shape that is presented via the visual interface by modifying the specified spatial parameter of the virtual shape along the specified dimension.

Abstract: The present disclosure relates to a method performed by a people distinguishing system (1) for in an image distinguishing human beings in a crowd. The people distinguishing system identifies (1001) one or more detected objects classified as human beings (2) in an image (3) derived from a thermal camera (10) adapted to capture a scene in an essentially forward-looking angle. The people distinguishing system further identifies at least a first grouping (4) of adjoining pixels in the image, not comprised in the one or more detected human beings, having an intensity within a predeterminable intensity range. Moreover, the people distinguishing system determines (1003) a grouping pixel area (40) of the at least first grouping in the image. Furthermore, the people distinguishing system determines (1004) for at least a first vertical position (yexpected) in the image, based on head size reference data (5), an expected pixel area (xexpected) of a human head at the at least first vertical position.

Abstract: Methods and apparatuses are disclosed herein for parameter estimation for metrology. An example method at least includes optimizing, using a parameter estimation network, a parameter set to fit a feature in an image based on one or more models of the feature, the parameter set defining the one or more models, and providing metrology data of the feature in the image based on the optimized parameter set.

Abstract: A method for surveying an environment by a movable surveying instrument configured to be carried by a human with a progressional capturing of 2D-images by at least one camera and applying a visual simultaneous location and mapping algorithm (VSLAM) or a visual inertial simultaneous location and mapping algorithm (VISLAM) with a progressional deriving of a sparse evolving point cloud of at least part of the environment, and a progressional deriving of a trajectory of movement. The method comprises a progressional matching of the sparse evolving point cloud with a known CAD-geometry, with a minimizing of a function configured to model a distance between the sparse point cloud and the known CAD-geometry and deriving a spatial localization and orientation of the surveying instrument. At least one surveying measurement value of the environment by a spatial measurement unit is combined with the sparse point cloud or the plan information.

Abstract: Provided is an object type identifying apparatus that is capable of correctly identifying the types of objects held in a hand of a person. This object type identifying apparatus is provided with: a memory storing instructions; a storage device storing information indicating a type of an object at a position of each object; and one or more processors configured to execute the instructions to: acquire a position of an object; determine whether an object is picked up or an object is placed, based on sensor information; when determined that an object is picked up, identify a type of the picked-up object, based on the position of the object acquired and information stored in the storage device; and when determined that an object is placed, update information stored in the storage device, using an image captured by a camera that captures arrangement of each object from a front side.

Abstract: A customer premises parking system including one or more cameras and wireless communications transmission capability is described. The presence of a vehicle with a license plate at an entrance or exit of a parking area is detected and one or more high resolution images are captured and time stamped. A license plate portion of the HD image is captured and stored. The license plate number and corresponding time is determined and communicated using a wide area wireless network. The HD license plate portion of the image is processed to produce a low resolution version of the license plate image which is segmented and processed into fragments which are transmitted via the wide area network using available transmission opportunities. A high resolution version of the license plate portion is stored at the premises where the parking facilitate is located and can be retrieved via a cellular wireless interface in the event of a dispute or discrepancy with regard to the detected and reported license plate number.

Abstract: A distance measurement accuracy is improved without increasing power consumption of an image processing apparatus that performs distance-measuring processing. In one embodiment, an image processing apparatus for calculating distance information on an image has a reliability calculation unit 113 configured to calculate reliability in accordance with contrast for each pixel of the image and a distance calculation unit 116 configured to calculate distance information on each of the pixels based on reliability of each of the pixels. The distance calculation unit 116 calculates the distance information about a second pixel group whose reliability is lower than that of a first pixel group by using a collation area whose size is larger than a predetermined size in a range in which an amount of calculation in a case where a collation area of the predetermined size is used for all the pixels of the image is not exceeded.

Abstract: The present disclosure relates to image processing systems and methods. The method may include obtaining a first image and a second image. The first image may be captured by a first camera lens of a panorama device and the second image may be captured by a second camera lens of the panorama device. The method may also include performing an interpolation based on a center of the first image to obtain a first rectangular image, and performing an interpolation based on a center of the second image to obtain a second rectangular image. The method may further include generating a fused image based on the first rectangular image and the second rectangular image, and mapping the fused image to a spherical panorama image.

Abstract: A distance measurement accuracy is improved without increasing power consumption of an image processing apparatus that performs distance-measuring processing. In one embodiment, an image processing apparatus for calculating distance information on an image has a reliability calculation unit 113 configured to calculate reliability in accordance with contrast for each pixel of the image and a distance calculation unit 116 configured to calculate distance information on each of the pixels based on reliability of each of the pixels. The distance calculation unit 116 calculates the distance information about a second pixel group whose reliability is lower than that of a first pixel group by using a collation area whose size is larger than a predetermined size in a range in which an amount of calculation in a case where a collation area of the predetermined size is used for all the pixels of the image is not exceeded.

Abstract: Disclosed herein is a system and method directed to object tracking using plurality of cameras. The system includes the plurality of cameras disposed around a playing surface in a mirrored configuration, and where the plurality of cameras are time-synchronized. The system further includes logic that, when executed by a processor, causes performance of operations including: obtaining a sequence of images from the plurality of cameras, continuously detecting an object in image pairs at successive points in time, wherein each image pair corresponds to a single point in time, continuously determining a location of the object within the playing space through triangulation of the object within each image pair, determining wall coordinates of a wall that the object is expected to contact based on the continuously determined location of the object and causing rendering of a visual graphic based on the wall coordinates.

Abstract: Systems, methods, and computer-readable media are disclosed for identifying light flares in images. An example method may involve receiving an image from an imaging device, the image including data indicative of a flare artifact originating from a region of the image. The example method may also involve determining, based on the image data, a first array of pixels extending radially outwards from the region and a second array of pixels extending radially outwards from the region. The example method may also involve creating, based on the image data, a flare array, the flare array including the first array of pixels and the second array of pixels. The example method may also involve determining, based on the flare array, a peak flare artifact value indicative of a size of the flare artifact. The example method may also involve determining, based on the peak flare artifact value, a flare artifact score for the imaging device.

Abstract: An electronic device for synthesizing an image, and an operating method thereof, are provided. The electronic device may include a display, a processor operatively coupled to the display, and a memory operatively coupled to the processor, wherein the memory may store instructions, which when executed, cause the processor to identify at least one target object in a first image, and at least one background object in a second image, determine a position for arranging the at least one target object on the second image, based on correlation of the at least one identified target object and the at least one identified background object, obtain a third image by arranging the at least one target object based on the determined position on the second image, and display the obtained third image on the display.

Abstract: Personal equipment detection may utilize pose-based detection. Input image data may be evaluated to detect persons in the image data. For detected persons, regions of the persons may be determined. Personal equipment may be detected for the detected persons in the image data and compared with the regions of the persons to determine whether the detected personal equipment is properly placed on the person.

Abstract: A method, system and computer program product for progressively updating at least one matrix of license plate identification values is disclosed. At a vehicle presence time, an image is captured within which is shown a uniquely identifiable license plate of a vehicle. Analytics is carried out on the image to obtain, in relation to the uniquely identifiable license plate, at least four values in relation to both a license plate number and at least one additional plate-identifying information. The matrix of license plate identification values is populated with the at least four values and stored in a database.