Abstract: An approach is provided for feature triangulation from images. The approach includes retrieving the plurality of images, wherein the plurality of images is captured by a sensor of a vehicle during a drive; determining a vehicle trajectory of the vehicle during the drive; selecting a first image and a second image from the plurality of images, wherein the first image and second image are arranged in reverse time order based on respective image capture times determined using the vehicle trajectory; after detecting the feature in the first image, processing the second image to detect the feature and to associate the feature as detected in the second image with the feature previously detected in the first image; and processing the detected feature in the first image and the second image to triangulate the location of the feature.

Abstract: In embodiments, obtaining a plurality of image sets associated with a geographical region and a time period, wherein each image set of the plurality of image sets comprises multi-spectral and time series images that depict a respective particular portion of the geographical region during the time period, and predicting presence of a crop at particular locations within the particular portion of the geographical region associated with an image set of the plurality of image sets. Determining crop boundary locations within the particular portion of the geographical region based on the predicted presence of the crop at the particular locations, and generating a crop indicative image comprising at least one image of the multi-spectral and time series images of the image set overlaid with indication of crop areas, wherein the crop areas are defined by the determined crop boundary locations.

Abstract: In accordance with an example embodiment of the present invention, there is provided an apparatus, comprising a transceiver arranged to insertably interface with an integrated module, at least one processing core configured to enable the integrated module to be connected, via the apparatus, to a network, the transceiver being configured to receive from the integrated module information enabling the apparatus to become an endpoint of a connection to a network node, and the at least one processing core being configured to receive, using the connection, a computer program for operating the apparatus. In some embodiments, the integrated module comprises a universal integrated circuit card and a secure execution environment.

Abstract: In a people counting system, a plurality of vision sensors is arranged to provide sensor coverage of an area. Each is arranged to provide individual sensor coverage of a portion of the area within its field of view. Each of a plurality of local image processors is connected to a respective one of the vision sensors. Each of the local image processors is configured to apply a local person detection algorithm to at least one image captured by its respective vision sensor, thereby generating a local presence metric representative of a number of people detected in the at least one image. A central processor is configured to estimate the total number of people in the area covered by the vision sensors by applying an aggregation algorithm to the local presence metrics generated by the local image processors. As it is critical that user privacy be taken into account when utilising such people counting technology, an opt-out is enabled.

Abstract: An unmanned mobile observation device, such as an unmanned aerial vehicle, can be used to acquire observation data for a sensitive area. The observation data can include image data and geolocation data corresponding to a real-world geographic location at which the image data was acquired. The geolocation data can be accurate to five centimeters or less. The observation data can be evaluated to identify any defects within the sensitive area. Such evaluation can include comparison with previously acquired image data for the sensitive area, which can be enables by using the geolocation data to select the corresponding previously acquired image data.

Abstract: A method and a system for patch-based scene segmentation using neural networks are presented. In an embodiment, a method comprises: using one or more computing devices, receiving a digital image comprising test image; using the one or more computing devices, creating, based on the test image, a plurality of grid patches; using the one or more computing devices, receiving a plurality of classifiers that have been trained to identify one or more materials of a plurality of materials; using the one or more computing devices, for each patch of the plurality of grid patches, labelling each pixel of a patch with a label obtained by applying, to the patch, one or more classifiers from the plurality of classifiers; using the one or more computing devices, generating, based on labels assigned to pixels of the plurality of grid patches, a grid of labels for the test image.

Abstract: A method of processing input data using a computing system. The method comprises obtaining association data which relates a kernel in a convolutional neural network to one or more known data patterns; conducting analysis of input data for the convolutional neural network to identify whether a region of input data corresponds to at least one of the one or more known data patterns; and determining whether to process the region of input data with the kernel in the convolutional neural network based on the analysis and the association data.

Abstract: Systems and methods for the automatic creation of multiple image layouts. In an example, an image processing application creates an output layered image from an input layered image that includes a background object, a foreground object, and a focus area that at least partially overlaps with the foreground object. The image processing application applies a scaling factor to the foreground object such that the foreground object either is entirely contained within the output foreground object or one dimension of the foreground object is contained within the output foreground object. The image processing application further determines an output focus area in the output foreground object by applying the scaling factor to the focus area. The image processing application crops the foreground object such that the focus area is contained within the output foreground object, thereby creating the output layered image.

Abstract: A network node controls communication of user equipment in a mobile network with cellular network access and wireless local area network access. The network node receives from a further network node, information concerning a wireless local area network access to which the user equipment is attached and information concerning a cellular network access to which the user equipment is attached. On the basis of the received information, the network node controls whether to provide at least one service via the wireless local area network access or via the cellular network access.

Abstract: Example embodiments relate to a user equipment that can receive a cellular broadcast message comprising a data element identifying the cellular broadcast message as a wireless emergency alert. The network address information (e.g., URL) can identify a network location associated with multimedia content to be transmitted to the user equipment, the multimedia content stored at a repository associated with a server device. The user equipment can, in response to detecting that the cellular broadcast message comprises the data element, send a content request to the server device associated with the network location identified by the network address information, and subsequently it can receive the multimedia content from the server device and provide the multimedia content via a graphical user interface displayed on a screen of the user equipment.

Abstract: A method and system for steering a mobile device to a preferred network, such as a Private LTE network or a 5G network, in a scenario in which the coverage area of the preferred network overlaps the coverage area of a non-preferred network, such as a 3G or a 4G Public Land Mobile Network (PLMN). A preferred network list is provisioned into a SIM/eSIM module at the mobile device side. The mobile device periodically collects a set of values for attributes associated with a current location of the mobile device and reports the collected values to the Steering application, hosted at the network side. The Steering application detects whether the mobile device is within the coverage area of the preferred network and, if so, triggers the mobile device to perform network steering.

Abstract: A power supply modulator includes: a linear regulator; a switching regulator; and a mode-based connection circuit. The mode-based connection circuit includes a coupling circuit configured to drop an output signal of the linear regulator by a target coupling voltage in an envelope tracking (ET) modulation mode; and a coupling voltage management circuit configured to monitor a coupling voltage of the coupling circuit in another modulation mode, and selectively apply a voltage to the coupling voltage based on a monitoring result such that the coupling voltage is maintained at the target coupling voltage.

Abstract: A system and method in an intelligent network are provided for analyzing an event external to the intelligent network. A set of intelligent network subscribers is selected in a selected geographic area. Next, signal message data is obtained from a signaling network in the intelligent network, wherein the signal message data indicates status of subscribers in the set of intelligent network subscribers. External data related to the selected geographic area is obtained, wherein the external data is external to the intelligent network. The signal message data and the external data are then fused to produce synthetic data. In response to the synthetic data, an alert of an external event is produced. The alert can be graphically represented on a display.

Abstract: A processor of an endoscope system uses components of color image data of biological tissue illuminated by at least two types of light to generate an oxygen saturation distribution image of hemoglobin in the biological tissue and to calculate a certainty of an oxygen saturation. Furthermore, the processor controls a display mode of the oxygen saturation distribution image according to the degree of the certainty. The certainty drops if the value of a first component a of the color image data is lower than a lower limit threshold value. The certainty drops if the value of a second component b of the color image data is greater than an upper limit threshold value. The lower limit threshold value and the upper limit threshold value are values of two different pieces of color image data.

Abstract: A system and method for determining a size of a threaded fastener includes a database and a computer. The database stores data including dimensions of at least one standard object. The computer includes a processor, a memory, a user interface, and a camera. An image of a threaded fastener and a standard object is captured by the camera. The processor then performs a calculation of the thread size and the diameter of the threaded fastener by comparing the dimensions from the database with the standard object and the threaded fastener in the image and presents the thread size and the diameter of the threaded fastener to a user.

Abstract: Disclosed are a method and apparatus for determining a given variation of a form used by a filled in instance of that type of form from amongst a number of form templates. The given instance is aligned to each of the variants or form templates. The result of the alignment includes a series of key points that did not match up well (“bad” key points). The bad key points are taken from the form templates. Then, a set of pixel patches from around each of the bad key points of the form templates are extracted. The pixel patches are individually compared to corresponding pixel patches of the instance. The comparison generates a match score. The form template having the greatest match score is the correct form template.

Abstract: A radiographic image processing apparatus includes a hardware processor, which determines the intensity of an edge in a radiographic image obtained by radiographically imaging a subject, sets a weighting factor to be used in extracting a frequency component from the radiographic image according to a determination result of the edge intensity, extracts the frequency component from the radiographic image using the weighting factor having been set, multiplies the extracted frequency component by a scattered radiation content rate to estimate a scattered radiation component in the radiographic image, multiplies the estimated scattered radiation component by a scattered radiation removal rate to generate a scattered radiation image representing the scattered radiation component to be removed from the radiographic image, and performs scattered radiation correction on the radiographic image by subtracting the scattered radiation image from the radiographic image.

Abstract: In determining the size of particles in a flowing sample, initially scattered light is detected on a detector, in the form of images, standardization of the measured images takes place and determination of an offset and of an angle of rotation at least of a partial region of two temporally successive images relative to each other is effected. Two images congruent are subdivided into many partial areas with respectively a specific number of pixels and averaging of the brightness values of each individual partial area is implemented. Subsequently, the average brightness value of a partial area of the first image is correlated with the average brightness value of the partial area made congruent with this partial area in the second image (cross-correlation between the images). For each pair of congruent partial areas of the images, a correlation value is thereby produced.

Abstract: A core network device of a telecommunications network can receive a first request from a consumer network function (NF) and forward the first request to a first provider NF. The device can subsequently detect a violation by the first provider NF of a response criterion. The device can receive a second request and forward the second request to a second, different provider NF in response to the violation. In some examples, the device can later detect that the first provider NF has satisfied the response criterion with respect to a third request. The device can modify load data to increase the proportion of subsequent requests for which the first provider NF is selected. The device can select provider NFs based on the load data. In some examples, a system can include a network registry device that selects NFs based on violation indications received from the core network device.

Abstract: An image processing method for segmenting an image, the method comprising: receiving first image; producing a second image from said first image, wherein said second image is a lower resolution representation of said first image; processing said first image with a first processing stage to produce a first feature map; processing said second image with a second processing stage to produce a second feature map; and combining the first feature map with the second feature map to produce a semantic segmented image; wherein the first processing stage comprises a first neural network comprising at least one separable convolution module configured to perform separable convolution and said second processing stage comprises a second neural network comprising at least one separable convolution module configured to perform separable convolution; the number of layers in the first neural network being smaller than the number of layers in the second neural network.