Abstract: A semi-supervised computer-implemented method for group and group activity detection is provided. The method includes detecting, by a hardware processor, entity areas in an image. The method further includes extracting relative position features from pairs of the entity areas. The method also includes extracting pixel features from the pairs of the entity areas. The method additionally includes combining the relative position features and the pixel features to generate edge features. The method further includes identifying, using a display device, groups formed from the entity areas by processing the edge features using an Edge-Labeling Graph Neural Network. The method also includes identifying, using the display device, for each of the groups of the entity areas, a group activity performed by the persons therein based on a result of a voting scheme.

Abstract: The vehicle-locating flag is a signal device. The vehicle-locating flag is configured for use with a vehicle. The vehicle further comprises a door and an electrical system. The vehicle-locating flag attaches to the door of the vehicle. The vehicle-locating flag is configured for use with a fob. The vehicle-locating flag comprises a display structure and a control circuit. The display structure visibly displays the location of the vehicle. The control circuit operates a strobe light that draws attention to the location of the display structure. The control circuit transmits an SMS message containing the location of the vehicle over a commercially provided and publicly available cellular wireless network to a personal data device. The fob transmits a radio frequency signal to initiate the operation of the control circuit.

Abstract: A method of verifying a triggered alert in a man overboard detection system comprises: receiving (600) a plurality of sequential frames of image data associated with the triggered alert followed by motion compensating (616) difference frames formed by generating differences (608) between successive frames. A summation of the motion compensated difference frames is then generated (618). The summation image is then analysed (630, 632) and the detection associated therewith is classified (634, 636) in response to identification of a cluster of pixels corresponding to a predetermined size range.

Abstract: In an embodiment, a computer-implemented process is programmed or configured to allow a first computing device to generate and send enriched pin data to a geographical messaging system. The geographical messaging system may then broadcast the enriched pin data to a second computing device belonging, for instance, to a team member in the same geographical region as the first computing device. The second computing device may then use the enriched pin data to display, on a geographical map, a map pin that corresponds to the enriched pin data for a selected map pin type.

Abstract: A determination apparatus and method for gaze angle are provided. The apparatus analyzes an image to generate a plurality of facial triaxial positioning values and a plurality of facial landmark points. The apparatus obtains a plurality of specific facial landmark points from the facial landmark points to generate a heatmap, and compares the heatmap with a standard heatmap to generate an image compensation value. The apparatus performs a facial correcting process based on the image and the image compensation value to generate a virtual corrected image. The apparatus analyzes the virtual corrected image to obtain a displacement of pupil. The apparatus determines a gaze angle of a user according to a determination model for gaze angle, the facial triaxial positioning values and the displacement of pupil.

Abstract: Disclosed are a mobile terminal and a control method therefore. The control method of the mobile terminal, according to one embodiment of the present invention, comprises the steps of executing a mobile messenger, selecting a specific other user pre-registered in the mobile messenger, receiving a first command which is for the selected specific other user as a recipient; controlling the state of the at least one device according to the received first command; and controlling the controlled state of the at least one device to be maintained or to be changed according to whether the first command and a second command are in conflict with each other when the second command which is for the specific other user as a recipient is received through another mobile terminal in which the mobile messenger is executed.

Abstract: An information processing apparatus comprising a detection unit configured to analyze an input image and detect a person included in the image, a person determination unit configured to determine whether the detected person is a person registered in advance, an action determination unit configured to determine whether a person determined by the person determination unit not to be the person registered in advance has performed a first action for requesting support, and an output unit configured to output to an external device a notification about a first person determined by the action determination unit to have performed the first action, wherein the detection unit executes further image analysis associated with the first person determined by the action determination unit to have performed the first action.

Abstract: Disclosed herein is a wearable display system for capturing retraining eye images of an eye of a user for retraining a neural network for eye tracking. The system captures retraining eye images using an image capture device when user interface (UI) events occur with respect to UI devices displayed at display locations of a display. The system can generate a retraining set comprising the retraining eye images and eye poses of the eye of the user in the retraining eye images (e.g., related to the display locations of the UI devices) and obtain a retrained neural network that is retrained using the retraining set.

Abstract: In one aspect, a device includes a processor and storage accessible to the processor. The storage bears instructions executable by the processor to parse content of a message and determine, based on the parsing of content of the message, whether to provide a notification using the device. The instructions are also executable by the processor to provide the notification responsive to a determination, based on the parsing of content of the message, to provide the notification using the device.

Abstract: A method for providing data to a user comprising communicating, from a radio access network to a Minimization of Drive Tests (“MDT”)-channel-communicative sensor device, at least one MDT signal selected from the group consisting of an MDT configuration signal and an MDT control signal. The method also comprises generating, at least in part in response to the MDT signal and using an onboard sensor of the MDT-channel-communicative sensor device, sensor data comprising non-MDT data. The method also comprises receiving at least a portion of the sensor data into the radio access network over an MDT channel and communicating at least the portion of the sensor data from the radio access network to the user.

Abstract: In a communications method of a wearable device, if a second BLUETOOTH connection between user equipment and the wearable device is disconnected, a first BLUETOOTH connection between a network connection device and the wearable device is established, so that the network connection device may send, to the wearable device through the first BLUETOOTH connection, first information sent by the user equipment through a third communication connection to the network connection device. In this way, indirect communication between the user equipment and the wearable device is implemented by using the network connection device, so that the user equipment and the wearable device are not limited by a communication range.

Abstract: Apparatuses, methods, and systems are disclosed for NSSAI configuration. One method includes determining a configured network slice selection assistance information for a public land mobile network for a remote unit in response to a trigger from an access and mobility management function. The access and mobility management function, a network slice selection function, or a combination thereof determines the configured network slice selection assistance information. The method includes providing the configured network slice selection assistance information to the remote unit via the access and mobility management function.

Abstract: The present disclosure discloses a method and apparatus for detecting a human face. A specific embodiment of the method comprises: acquiring a to-be-detected image; inputting the to-be-detected image into a pre-trained first convolutional neural network to obtain facial feature information, the first convolutional neural network being used to extract a facial feature; inputting the to-be-detected image into a pre-trained second convolutional neural network to obtain semantic feature information, the second convolutional neural network being used to extract a semantic features of the image; and analyzing the facial feature information and the semantic feature information to generate a face detection result. This embodiment improves accuracy of a detection result of a blurred image.

Abstract: Mobile device feature disablement is provided through a method that identifies, by a mobile device, a mobile device feature of which usability is to be disabled. The method includes identifying one or more hardware devices of the mobile device that the mobile device feature relies on for proper usability of the feature. The method also includes disabling, by the mobile device, one or more drivers of the one or more hardware devices, the disabling the one or more drivers disabling usability of the mobile device feature.

Abstract: A method for computing a dominant class of a scene includes: receiving an input image of a scene; generating a segmentation map of the input image, the segmentation map including a plurality of pixels, each of the pixels being labeled with a corresponding class of a plurality of classes; computing a plurality of area ratios based on the segmentation map, each of the area ratios corresponding to a different class of the plurality of classes of the segmentation map; applying inference to generate a plurality of ranked labels based on the area ratios; and outputting a detected dominant class of the scene based on the plurality of ranked labels.

Abstract: The present disclosure relates to systems and methods for action recognition. The systems and methods may obtain a plurality of sequential target image frames associated with facial information of an object. Each of the plurality of sequential target image frames may include a plurality of feature points associated with the facial information. The systems and methods may determine a first area and a second area based on the plurality of feature points in each of the plurality of sequential target image frames. The systems and methods may determine an asymmetry parameter in each of the plurality of sequential target image frames based on the first area and the second area. The systems and methods may identify a shaking action in response to that the asymmetry parameter satisfies a preset condition.

Abstract: A method for auto-configuration of components in a building includes placing components on a floor plan using a mobile device equipped with a user interface. The coverage region of any given component is estimated and operational settings for each component, including pairing with other components, is automatically assigned based on classification of each component and estimated coverage regions.

Abstract: An electronic device is provided. The electronic device includes a first communication circuit, a second communication circuit, a processor configured to be electrically connected with the first communication circuit and the second communication circuit, and a memory configured to be electrically connected with the processor. The memory includes instructions, when executed by the processor, cause the processor to obtain location information of the electronic device, transmit a first message for requesting to change a state of the electronic device to a network, receive a first response message to the transmitted first message from the network, transmit a second message for requesting a parameter for an operation cycle of the second communication circuit to the network, receive a second response message to the second message from the network, and change the operation cycle of the second communication circuit to a value corresponding to a current state of the electronic device.

Abstract: Disclosed is an image processing method capable of processing facial data and non-facial data differentially. The method is carried out by an image processing device, and includes the following steps: determining a facial region, a non-facial region and a transitional region according to a face detection result of an image, in which the transitional region is between the facial region and the non-facial region; and executing different processes for the data of the facial region, the data of the non-facial region and the data of the transitional region respectively.

Abstract: The present invention provides a method and a device for image processing, which are applied to the field of image processing. The method includes: receiving a first image, wherein the first image includes a face; detecting the face and a background region in the first image, establishing a three-dimensional model of the face according to the first image; rotating the three-dimensional model of the face by a first angle; projecting the three-dimensional model of the face rotated by the first angle to an image coordinate system of the first image, and fusing a face region with a processed background region to obtain a second image. The prevent invention provides a method and device for image processing, which can adjust the angle of a face in a captured image to achieve the effect of face enhancement.