Abstract: A method can include receiving (1) images of at least one subject and (2) at least one total mass value for the at least one subject. The method can further include executing a first machine learning model to identify joints of the at least one subject. The method can further include executing a second machine learning model to determine limbs of the at least one subject based on the joints and the images. The method can further include generating three-dimensional (3D) representations of a skeleton based on the joints and the limbs. The method can further include determining a torque value for each limb, based on at least one of a mass value and a linear acceleration value, or a torque inertia and an angular acceleration value. The method can further include generating a risk assessment report based on at least one torque value being above a predetermined threshold.

Abstract: At least a main area and a candidate area are provided on a display screen of a display device, and a display control unit that causes content displayed in the candidate area when reproduction of content displayed in the main area ends to be displayed in the main area, and a detection unit that detects a person from a captured image of at least a place where the display screen is visually recognizable are included, wherein the display control unit changes the content displayed in the candidate area depending on the person during reproduction of the content displayed in the main area.

Abstract: A feature mapping computer system configured to (i) receive a localized image including a photo depicting a driving environment and location data associated with the photo, (ii) identify, using an image recognition module, a roadway feature depicted in the photo, (iii) generate, using a photogrammetry module, a point cloud based upon the photo and the location data, wherein the point cloud comprises a set of data points representing the driving environment in a three dimensional (“3D”) space, (iv) localize the point cloud by assigning a location to the point cloud based upon the location data, and (v) generate an enhanced base map that includes a roadway feature.

Abstract: In one implementation, a method of defining a negative space in a three-dimensional scene model is performed at a device including a processor and non-transitory memory. The method includes obtaining a three-dimensional scene model of a physical environment including a plurality of points, wherein each of the plurality of points is associated with a set of coordinates in a three-dimensional space. The method includes defining a subspace in the three-dimensional space with less than a threshold number of the plurality of points. The method includes determining a semantic label for the subspace. The method includes generating a characterization vector of the subspace, wherein the characterization vector includes the spatial extent of the subspace and the semantic label.

Abstract: Embodiments of the present application relate to the technical field of computer information and provide a method and an apparatus for aligning elements in a document, an electronic device and a storage medium. The method includes: obtaining elements contained in a document; assigning the obtained elements into groups; obtaining an inter-group alignment manner between the groups, and obtaining an intra-group alignment manner for elements in each of the groups; and aligning all the groups based on the inter-group alignment manner, and aligning elements in each of the groups based on the intra-group alignment manner. By means of the solution for aligning elements in a document provided by the embodiments of the present application, the efficiency for aligning the elements in the document can be improved.

Abstract: Provided is a mouth shape synthesis device and a method using an artificial neural network. To this end, an original video encoder that encodes original video data which is a target of a mouth shape synthesis as a video including a face of a synthesis target; an audio encoder that encodes audio data that is a basis for the mouth shape synthesis and outputs an audio embedding vector; and a synthesized video decoder that uses the original video embedding vector and the audio embedding vector as input data, and outputs synthesized video data in which a mouth shape corresponding to the audio data is synthesized on the synthesis target face may be provided.

Abstract: Exemplary embodiments relate to a method for selecting an image of interest to construct a retrieval database including receiving an image captured by an imaging device, detecting an object of interest in the received image, selecting an image of interest based on at least one of complexity of the image in which the object of interest is detected and image quality of the object of interest, and storing information related to the image of interest in the retrieval database, and an image control system performing the same.

Abstract: At least a main area and a candidate area are provided on a display screen of a display device, and a display control unit that causes content displayed in the candidate area when reproduction of content displayed in the main area ends to be displayed in the main area, and a detection unit that detects a person from a captured image of at least a place where the display screen is visually recognizable are included, wherein the display control unit changes the content displayed in the candidate area depending on the person during reproduction of the content displayed in the main area.

Abstract: Methods, systems, and computer programs are presented for adding new features to a network service. A method includes receiving an image depicting an object of interest. A category set is determined for the object of interest and an image signature is generated for the image. Using the category set and the image signature, the method identifies a set of publications within a publication database and assigns a rank to each publication. The method causes presentation of the ranked list of publications at a computing device from which the image was received.

Abstract: The present disclosure provides a three-dimensional element layout visualization method and apparatus. The three-dimensional element layout visualization method includes: determining a bounding box of each three-dimensional element in a visualization interface; projecting the bounding box of each three-dimensional element in a target projection direction to obtain edge elements of the bounding box of each three-dimensional element in the visualization interface; and determining, according to positions of the edge elements in the visualization interface, at least one edge element set satisfying a first preset condition, and displaying a collinearity identification corresponding to the edge element set in the visualization interface.

Abstract: A question and answer (Q&A) system is enhanced to support natural language queries into any document format regardless of where the underlying documents are stored. The Q&A system may be implemented “as-a-service,” e.g., a network-accessible information retrieval platform. Preferably, the techniques herein enable a user to quickly and reliably locate a document, page, chart, or data point that he or she is looking for across many different datasets. This provides for a unified view of all of the user's (or, more generally, an enterprise's) information assets (such as Adobe® PDFs, Microsoft® Word documents, Microsoft Excel spreadsheets, Microsoft PowerPoint presentations, Google Docs, scanned materials, etc.), and to be able to deeply search all of these sources for the right document, page, sheet, chart, or even answer to a question.

Abstract: A three-dimensional face model generation method is provided. The method includes: obtaining an inputted three-dimensional face mesh of a target object; aligning the three-dimensional face mesh with a first three-dimensional face model of a standard object according to face keypoints; performing fitting on the three-dimensional face mesh and a local area of the first three-dimensional face model, to obtain a second three-dimensional face model after local fitting; and performing fitting on the three-dimensional face mesh and a global area of the second three-dimensional face model, to obtain a three-dimensional face model of the target object after global fitting.

Abstract: An inspection apparatus comprises an obtaining unit configured to obtain first captured images of printed pages, a first setting unit configured to set an inspection region within a selected captured image selected from the first captured images of the respective pages obtained by the obtaining unit, and a second setting unit configured to perform setting performed on the selected captured image for the first captured image of a page decided based on a result of image analysis on the first captured images of the respective pages obtained by the obtaining unit.

Abstract: A system and method for utilizing a multi-sensor video surveillance system for traffic and compliance reporting. Utilizing closed caption televisions (CCTVs), cameras and other sensors, the system can generate heat maps and monitor activity in the scene. Based on the heat maps and object detection, the system can monitor traffic pattern for vehicles and monitor people for personal protective equipment (PPE) compliance.

Abstract: Techniques are described for automated microinjection of substances, such as genetic material, into single cells in tissue samples. An example system comprises a robotic manipulator apparatus configured to hold and position a micropipette. Furthermore, the system comprises a microscope camera positioned to observe an injection site. A computing device receives image data from a microscope camera of the system, where the image data represents an image of a tissue sample. The computing device receives, via a user interface, an indication of a line traced by a user on the image of a tissue sample. In response, the computing device controls the robotic manipulator apparatus to move a tip of the micropipette along a path defined by the trajectory line. The pressure controller injects a gas into the micropipette to eject a substance out of the micropipette at one or more points along the path defined by the trajectory line.

Abstract: The present disclosure describes a method, an apparatus, and a non-transitory computer-readable medium for detecting sensitive text information such as privacy-related text information from a signal and modifying the signal by removing the detected sensitive text information therefrom. The apparatus receives the signal such as an image, a video clip, or an audio clip, and recognizes a text string therefrom. The apparatus then detects, from the text string, a substring based on a similarity between the substring and a regular expression, and modifies the signal by removing information related to the detected substring from the signal.

Abstract: Video object and keypoint location detection techniques are presented. The system includes a detection system for generation locations of an object's keypoints along with probabilities associated with the locations, and a stability system for stabilizing keypoint locations of the detected objects. In some aspects, the generated probabilities are two-dimensional array correspond locations within input images, and stability system fits the generated probabilities to a two-dimensional probability distribution function.

Abstract: In various examples, locations of directional landmarks, such as vertical landmarks, may be identified using 3D reconstruction. A set of observations of directional landmarks (e.g., images captured from a moving vehicle) may be reduced to 1D lookups by rectifying the observations to align directional landmarks along a particular direction of the observations. Object detection may be applied, and corresponding 1D lookups may be generated to represent the presence of a detected vertical landmark in an image.

Abstract: A method and device for small sample defect classification and a computing equipment are disclosed. The method comprises: separating a target to be tested into parts, and segmenting an original image of the target to be tested into at least two sub-images containing different parts according to the separated parts; establishing small sample classification models with respect to each sub-image and the original image respectively, and obtaining a classification result of each sub-image and a classification result of the original image by using corresponding classification models, wherein the classification result includes a defect category and a corresponding category probability; and determining and outputting a defect category of the target to be tested according to classification results of all the sub-images and the original image.

Abstract: A method and a system of hybrid data-and-model-driven hierarchical network reconfiguration are provided. Taking into account that the optimal operation structure of the power grid may change after a new energy is connected into the power grid in the distribution manner, this method combines the mathematical model of network reconfiguration and clustering with the deep learning model, and uses data recorded by the smart meter, to reconfigure the network in a hybrid data-and-model driving mode. This method proposes a network compression method and a hierarchical decompression method based on deep learning, and improves the efficiency of network reconfiguration by the way of distributed calculation and combination of on-line and off-line calculation.

Abstract: A human behavior recognition method, a device, and a storage medium are provided, which are related to the field of artificial intelligence, specifically to computer vision and deep learning technologies, and applicable to smart city scenarios. The method includes: obtaining attribute information of a target object and N pieces of candidate behavior-related information of a target human from a target image, wherein N is an integer greater than or equal to 1; determining target behavior-related information based on comparison results between the N pieces of candidate behavior-related information and the attribute information of the target object; and determining a behavior recognition result of the target human based on the target behavior-related information.

Abstract: A hardware accelerator for an object detection network and a method for detecting an object are provided. The present disclosure provides robust object detection that advantageously augments traditional deterministic bounding box predictions with spatial uncertainties for various computer vision applications, such as, for example, autonomous driving, robotic surgery, etc.

Abstract: Disclosed are multiple object detection method and apparatus. The multiple object detection apparatus includes a feature map extraction unit for extracting a plurality of multi-scale feature maps based on an input image, and a feature map fusion unit for generating a multi-scale fusion feature map including context information by fusing adjacent multi-scale feature maps among the plurality of multi-scale feature maps generated by the feature map extraction unit.

Abstract: Approximate modeling of next combined result for stopping text-field recognition in a video stream. In an embodiment, text-recognition results are generated from frames in a video stream and combined into an accumulated text-recognition result. A distance between the accumulated text-recognition result and a next accumulated text-recognition result is estimated based on an approximate model of the next accumulated text-recognition result, and a determination is made of whether or not to stop processing based on this estimated distance. After processing is stopped, the final accumulated text-recognition result may be output.

Abstract: An image processing apparatus includes a memory and processing circuitry. The memory sequentially stores a plurality of read images read by a reading device. The processing circuitry transfers pairs of read images from the memory to an external apparatus in ascending order of priority in bookbinding to leave pairs of read images in the memory in descending order of priority in bookbinding. The processing circuitry further instructs an image forming device to execute image formation with pairs of read images in descending order of priority in bookbinding.

Abstract: A method of operating a target base station in a wireless communication network to determine an addressing information for a source base station. A method to operate a target base station in a wireless communication network includes receiving a connection request message from a terminal, transmitting, to the terminal, a terminal information request message, and receiving, from the terminal, a terminal information response message including source base station information in response to the terminal information request message.

Abstract: A computer-implemented method includes identifying behavioral characteristics of a user related to operation of a computing device prior to an online account session. The method includes comparing the behavioral characteristics to a behavioral profile previously developed based on prior behavioral characteristics of the user, and determining an appropriate mark difficulty level based on a variation between the behavioral characteristics and the behavioral profile. The method includes selecting, from a plurality of prompts stored in a prompt database, a prompt that comprises instructions to draw a mark having the appropriate mark difficulty level, where other prompts of the plurality of prompts comprise instructions to draw other marks different from the mark, and providing the prompt to the user as part of a logon process for the online account session.

Abstract: A computing system engages in digital image processing of received video frames to generate sport data that indicates a score and/or a time associated with a sport event. The digital image processing includes: (i) identifying a first frame region of the video frames based on the first frame region depicting a scoreboard; (ii) executing a first procedure that analyzes the identified first frame region to detect, within the identified first frame region, second frame region(s) based on the second frame region(s) depicting text of the scoreboard; (iii) in response to detecting the second frame region(s), executing a second procedure to recognize the text in at least one of the second frame region(s); and (iv) based at least on the recognizing of the text, generating the sport data. In response to completing the digital image processing, the computing system then carries out an action based on the generated sport data.

Abstract: In one embodiment, a writing data generating method is for generating writing data used in a multi charged particle beam writing apparatus. The method includes calculating, for a figure containing a curve and a straight line included in design data, a plurality of control points representing the curve and a plurality of vertices of the curve and straight line, and expressing a position of each of the control points and vertices as a displacement from an adjacent control point or vertex to generate the writing data.

Abstract: Systems and methods of authorizing access to access-controlled environments are provided. In one example, a method includes receiving, passively by a computing device, user behavior authentication information indicative of a behavior of a user of the computing device, comparing, by the computing device, the user behavior authentication information to a stored user identifier associated with the user, calculating, by the computing device, a user identity probability based on the comparison of the user behavior authentication information to the stored user identifier, receiving, by the computing device, a request from the user to execute an access-controlled function, and granting, by the computing device, the request from the user responsive to determining that the user identity probability satisfies a first identity probability threshold associated with the access-controlled function.

Abstract: Devices and techniques are generally described for three dimensional mesh generation. In various examples, first two-dimensional (2D) image data representing a human body may be received from a first image sensor. Second 2D image data representing the human body may be received from a second image sensor. A first pose parameter and a first shape parameter may be determined using a first three-dimensional (3D) mesh prediction model and the first 2D image data. A second pose parameter and a second shape parameter may be determined using a second 3D mesh prediction model and the second 2D image data. In various examples, an updated 3D mesh prediction model may be generated from the first 3D mesh prediction model based at least in part on a first difference between the first pose parameter and the second pose parameter and a second difference between the first shape parameter and the second shape parameter.

Abstract: A system includes a media source and a firewall system. The media source stores media content that includes one or both of an image or a video. The firewall system stores filtering criteria that include rules for blocking communication of all or a portion of the media content based at least in part on an identity of an individual appearing in the media content. The firewall system receives a request for the media content. The firewall system determines characteristics of a user that provided the request for the media content. The firewall system determines the identity of the individual appearing in the media content. Based at least in part on the characteristics of the user that provided the request for the media content, the identity of the individual appearing in the media content, and the filtering criteria, the firewall system determines an action for securing the media content.

Abstract: A method includes receiving an image that includes a wellbore component used during a wellbore operation of a borehole at a wellsite captured by a camera at the wellsite and inputting the image into an image recognition model. The method includes outputting, from the image recognition model, a class representing the wellbore component and inputting the class into a context model. The method includes outputting, from the context model, contextual data related to the wellbore component based on, the class representing the wellbore component, contextual data relating to the wellbore operation, and a type of the wellbore operation. The method includes transmitting the contextual data to a wearable device worn by a user at the wellsite.

Abstract: Methods and apparatus for end-to-end document image quality assessment without having ground truth for characters. An image quality assessment device integrates end-to-end machine learning without using ground truth to automatically predict an overall quality scores for images of documents. The image quality assessment device augments the size of individual image patches extracted from the images based on the contents and size of the images to maintain sufficient size of training data without compromising the reliability of the predicted scores for the images.

Abstract: Systems and methods of conducting a bar code scan using an imaging-based bar code scan device are provided. In one exemplary embodiment, a method is performed by an imaging-based bar code device that includes processing circuitry, an optical lens assembly having an image sensor and an optical lens with a focused region at a certain distance in front of the optical lens along an optical axis of the optical lens, a plurality of light emitting elements configured proximate the optical lens and laterally offset from the optical axis. The method includes sending, by the processing circuitry, to each light emitting element, an indication to enable that light emitting element to project a light beam towards the optical axis in the focused region so that the light beams overlap when a target bar code is in the focused region and non-overlap when a target bar code is outside the focused region.

Abstract: A printing apparatus includes a first memory, a second memory, an input circuit that alternately inputting second reference data and third reference data different from each other to the second memory, a processing circuit that performs first color processing with reference to first reference data in the first memory on print data, second color processing with reference to the second reference data in the second memory on the print data, and third color processing with reference to the third reference data in the second memory to the print data, and a printing mechanism that performs printing.

Abstract: According to certain aspects of the disclosure, a computer-implemented method may be used for providing a vehicle recommendation based on user gestures. The method may include displaying at least one image of a vehicle to a user and receiving at least one gesture from the user performed on the at least one image of the vehicle. Additionally, the method may include assigning a value to the at least one gesture from the user and determining a feature of the vehicle based on the at least one gesture from the user. Additionally, the method may include receiving gesture information related to the at least one gesture and determining a vehicle preference of the user based on the value, the feature of the vehicle, and the gesture information. Additionally, the method may include identifying at least one available vehicle based on the vehicle preference of the user and displaying the at least one available vehicle to the user.

Abstract: An information processing apparatus includes processors configured to execute inference processing using a GPU on frames of a moving image through each application for each of a plurality of applications, acquire a first degree of similarity between a target frame and a frame at a time of execution of previous inference processing, acquire a second degree of similarity between the target frame and an immediately preceding frame that is executed after the previous inference processing, set a constraint on execution of inference processing for the target frame having a throughput larger than a certain value when a number of frames accumulated in a queue that is used for waiting for the execution of the inference processing and accumulates frames exceeds a certain number, and determine whether to execute the inference processing for the target frame based on the first degree, the second degree, and whether the constraint presents.

Abstract: A face key point detection method includes determining, according to an image containing a face, a multi-channel feature map of the image; converting the multi-channel feature map into a predetermined channel quantity of target feature maps; performing a convolution operation on each target feature map in the predetermined channel quantity of target feature maps by using a convolution kernel corresponding to each target feature map; generating a feature vector corresponding to the image based on a result of the convolution operation on each target feature map; and determining key point coordinates of the face on the image according to the feature vector.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating weather forecasting modules from historical weather data, including unstructured and structured data. The weather forecasting modules each comprise at least one model, such as a neural network, that generates a forecast from input weather data. Each module may be focused on a particular region, weather variable, and or forecasting time period. Unstructured data may be analyzed by the system to generate weather-related variables which are combined with structured weather data to generate a combined weather feature set that is input to the model. Alternatively, unstructured data may be input directly in the module, with or without preprocessing. The weather forecasts can then be used to forecast various power-generation related variables or events, including power generation, electrical load, etc.

Abstract: An encoding apparatus partitions a digital image into multiple regions for subsequent encoding. A first encryption code is associated with a first region, a second encryption code is associated with a second region and the first code, and a third code is associated with the first code, the second code and a third region. An authentication apparatus authenticates the digital image in an inverse process.

Abstract: An electronic device and method for shape refinement of a 3D mesh reconstructed from images is disclosed. A set of images of an object is acquired and used to estimate a first 3D mesh of a head portion of the object. A first set of operations is executed on the first 3D mesh to generate a second 3D mesh. The first set of operations includes a removal of one or more regions which are unneeded for head-shape estimation and/or a removal of one or more mesh artifacts associated with a 3D shape or a topology of the first 3D mesh. A 3D template mesh is processed to determine a set of filling patches which corresponds to a set of holes in the second 3D mesh. Based on the second 3D mesh and the set of filling patches, a hole filling operation is executed to generate a final 3D mesh.

Abstract: A method at a server for container location verification within a container yard, the method including requesting image data from at least one image sensor apparatus affixed to a container within the container yard; receiving the image data; and processing the image data to identify a location of a target container.

Abstract: A code reader includes an imager configured to capture an image, and a processor operably coupled to the imager. The processor performs an object detection operation having a configurable triggering threshold that may be set, at least in part, based on an amount of changes needed to be detected in order to trigger a positive result for object detection. The processor also initiates a scanning phase for the code reader to read and decode an indicia responsive to the positive result being achieved by the object detection operation.

Abstract: The analysis apparatus (2000) includes a co-appearance event extraction unit (2020) and a frequent event detection unit (2040). The co-appearance event extraction unit (2020) extracts co-appearance events of two or more persons from each of a plurality of sub video frame sequences. The sub video frame sequence is included in a video frame sequence. The analysis apparatus (2000) may obtain the plurality of sub video frame sequences from one or more of the video frame sequences. The one or more of the video frame sequences may be generated by one or more of surveillance cameras. Each of the sub video frame sequences has a predetermined time length. The frequent event detection unit (2040) detects co-appearance events of the same persons occurring at a frequency higher than or equal to a pre-determined frequency threshold.

Abstract: A method for assessing video recordings of movement disorders with privacy protection functions includes: obtaining movement disorder assessment video; performing face-swapping to the subject in the video; identifying key points in the video after face-swapping; determination of the movement feature for assisting diagnosis of diseases according to the changes of the key points with respect to recording time. The movement disorder assessment video is processed to obtain a face-swapped video, which can retain the person's facial expression while the subject has the appearance of a public figure, thereby achieving the purpose of protecting person privacy. By extracting the key points of the human body from the movement disorder assessment video, and monitoring the changes of the key points with the video progress, the movement feature related to the disease can be determined, and the quantifiable key diagnostic indicators of the disease can be obtained.

Abstract: Disclosed herein are system, method and computer readable storage medium for detecting space suitable for overlaying media content onto an image. The system receives an image which may be an image or a video frame. The image is processed using a number of image processing techniques in order to automatically propose spaces for inserting media content onto the image. The proposed spaces may then be further analyzed using a heuristics-based approach to select bounding boxes for inserting media content. Subsequently, one or more media content items may be selected for insertion onto the bounding boxes on the image. The system may then cause a display of the image with the selected media content item overlaid onto the image within the selected bounding boxes.

Abstract: Described is a method that involves operating an unmanned aerial vehicle (UAV) to begin a flight, where the UAV relies on a navigation system to navigate to a destination. During the flight, the method involves operating a camera to capture images of the UAV's environment, and analyzing the images to detect features in the environment. The method also involves establishing a correlation between features detected in different images, and using location information from the navigation system to localize a feature detected in different images. Further, the method involves generating a flight log that includes the localized feature. Also, the method involves detecting a failure involving the navigation system, and responsively operating the camera to capture a post-failure image. The method also involves identifying one or more features in the post-failure image, and determining a location of the UAV based on a relationship between an identified feature and a localized feature.

Abstract: An automated health check device and methods, the device comprising: at least one imaging sensor configured for capturing at least one image of at least an area confined by a window of the vehicle; at least one vital signs sensor configured for measuring a health parameter of a passenger at the area confined by the window; and at least one processor configured for: acquiring and analyzing the at least one image to determine location of the window; determining based on the determined location of the window a location of the passenger; determining the at least one vital signs sensor being oriented to a predetermined point of view in relation to the location of the passenger determined; and obtaining a measurement of the health parameter of the passenger from the at least one vital signs sensor.

Abstract: Input coordinates identify a tile on the globe and a biome is identified for each pixel of the tile. We choose a random segmentation mask of the corresponding biome for the tile. Every segment of the mask carries a unique identifier and access to a random value via a corner reference. These parameters ensure that (when executed in parallel) each pixel with the same identifier and random value is handled the same way. For each pixel of the tile, using the selected mask, we identify the segment corresponding to that pixel, we retrieve a color variation for that pixel based upon the segment identifier and the random value. We thus choose a color variation for each segment of a segmentation mask. Pixels in the same segment are treated the same way. Instead of a color variation for flat areas (crop fields) we choose a density variation for regions like forests.