Abstract: Disclosed herein are systems and methods for providing supplemental identification abilities to an autonomous vehicle system. The sensor unit of the vehicle may be configured to receive data indicating an environment of the vehicle, while the control system may be configured to operate the vehicle. The vehicle may also include a processing unit configured to analyze the data indicating the environment to determine at least one object having a detection confidence below a threshold. Based on the at least one object having a detection confidence below a threshold, the processor may communicate at least a subset of the data indicating the environment for further processing. The vehicle is also configured to receive an indication of an object confirmation of the subset of the data. Based on the object confirmation of the subset of the data, the processor may alter the control of the vehicle by the control system.

Abstract: A traffic light detecting device includes an image capturing unit configured to capture an image of surroundings of a vehicle and a traffic light detecting unit configured to detect a traffic light from the image. The traffic light detecting unit extracts a synchronized pixel with a luminance which varies in synchronization with an alternating current cycle of electric power supplied to the traffic light, and sets a predetermined range including the synchronized pixel as a pixel group. The traffic light detecting unit, then, judges from the synchronized pixel whether or not the traffic light is present when the synchronized pixel is continuously extracted from the pixel group for a predetermined determination period.

Abstract: A traffic light detecting device includes an image capturing unit configured to repeatedly capture images in a travelling direction of a vehicle to obtain a series of multiple images and a traffic light detecting unit configured to detect traffic lights from the images. The traffic light detecting unit detects phase information of an electric power system used in an area around the vehicle including the traffic lights from a cycle of a luminance variation in the series of multiple images and extracts from the images a synchronized pixel with a luminance which varies in synchronization with an alternating current cycle of electric power supplied to the traffic light by using the phase information of the electric power system. The traffic light detecting device judges from the synchronized pixel whether or not the traffic light is present.

Abstract: In an image pickup system, illumination light emitted by a light emission part is collected and reflected by an optical member and is distributed to a predetermined area. This light distribution to the predetermined area permits a constituent point farther away from the light emission part to receive illumination light having a greater intensity of light being equal to or greater than a predetermined reference value. The image pickup system thus distributing the illumination light enables the intensity of light incident on each pixel constituting an image pickup predetermined area to be equal to or greater than an intensity reference value while enabling the distribution of the intensity of light incident on each pixel constituting the image pickup predetermined area to be within a first reference range.

Abstract: A system for providing real-time alerts or actions comprises an image capturing device and a processor and a memory. The image capturing device is for capturing an image during vehicle operation and of an expected driver location. The processor is configured to: 1) detect a face of a driver in the image; 2) determine a set of face data from the image; and 3) determine authentication based at least in part on the set of face data. The memory is coupled to the processor and configured to provide the processor with instructions.

Abstract: A display apparatus and a method for operating the same are disclosed. The method for operating a display apparatus includes acquiring biometric information about a user through a camera or a sensor unit, comparing the acquired biometric information with pre-stored authentication information, and switching the display apparatus to a first mode, if the acquired biometric information does not match with the pre-stored authentication information, the first mode restricting access to content predetermined from total content.

Abstract: A liveness testing apparatus includes a testing circuit. The testing circuit is configured to test a liveness of an object included in a received input image based on whether an image of the object has a characteristic indicative of a flat surface or a characteristic indicative of a three-dimensional (3D) structure.

Abstract: An image processing apparatus and an image processing method are provided. The image processing apparatus comprises a false contour detection circuit and a false contour reduction circuit. The false contour detection circuit is configured to detect a flat pixel distribution of an image input signal and correspondingly output a false contour coefficient. The false contour reduction circuit is coupled to the false contour detection circuit to receive the false contour coefficient, and is configured to perform false contour reduction on the image input signal according to the false contour coefficient, so as to correspondingly output an image output signal.

Abstract: Techniques for assuring the quality of mobile document image captured using a mobile device are provided. These techniques include performing one or more tests to assess the quality of images of documents captured using the mobile device. The tests can be selected based on the type of document that was imaged, the type of mobile application for which the image quality of the mobile image is being assessed, and/or other parameters such as the type of mobile device and/or the characteristics of the camera of the mobile device that was used to capture the image. The image quality assurance techniques can also be implemented on can be implemented on a mobile device and/or on a remote server where the mobile device routes the mobile image to the remote server processing and the test results are be passed from the remote server to the mobile device.

Abstract: A region of space may be monitored for the presence or absence of one or more control objects, and object attributes and changes thereto may be interpreted as control information provided as input to a machine or application. In some embodiments, the region is monitored using a combination of scanning and image-based sensing.

Abstract: A system and method are provided for assessing a resolution of an optical sensor. An image is obtained from the optical sensor. A target area is selected from the image. The selected area is subjected to a thresholding process to generate a binary image. Pixels at a center of the binary image are tagged. The remaining pixels of the binary image are looped through, where pixels that are not already tagged, are touching a tagged pixel, and are of the same color of previously tagged pixels are tagged. A plurality of distances associated with each corner of the binary image is calculated from the corner to the nearest tagged pixel in a row or column of pixels. At least two shortest distances of the calculated plurality of distances are selected to determine an orientation of an object defined by the tagged pixels in the generated binary image.

Abstract: According to one embodiment, an information processing apparatus includes an image acquisition module, an elevation-angle acquisition module, a character deformation specification module, a character detection dictionary storage, a character detection dictionary selector and a character detector. The elevation-angle acquisition module is configured to acquire an elevation angle of a photographic device assumed when the photographic device has obtained an acquired image. The character deformation specification module is configured to specify how an appearance of the character in the acquired image is deformed, based on the acquired elevation angle.

Abstract: Disclosed is a method and apparatus for computation and processing of an image for image matching. The apparatus here is configured to pre-process plurality of images for creating an image template. Next, the test image is extracted and pre-processed for assessing the degree of match between the test image components and the image components of the images in the image template, based a position based matching score, a feature based matching score or both.

Abstract: A method, executed by one or more processors, includes computing a saliency surface for an image, conducting a mean shift algorithm on the saliency surface to provide mean shift data for the saliency surface, producing a mode voting map for the saliency surface from the mean shift data, and classifying features in the image according to the mode voting map. The features may correspond to medical conditions. In some embodiments, computing the saliency surface comprises determining a distinctiveness score for each of a plurality of image patches. In some embodiments, producing the mode voting map comprises determining a plurality of modes and an area of influence for each mode of the plurality of modes where the area of influence corresponds to mean shift data that leads to a particular mode. A corresponding computer program product and computer system are also disclosed herein.

Abstract: In an example embodiment, a method, apparatus and computer program product are provided. The method includes facilitating receipt of an image of a scene and determining a graph based on connecting nodes of the image. The nodes are either pixels or superpixels of the image. The graph is determined by determining one or more connections of a node to one or more nodes belonging to a pre-defined image region around the node in the image. The connections are associated with edge weights that are determined based on at least one of similarity parameters and spatial distances between the node and the one or more nodes. The method includes determining disparity values at the nodes of the image based at least on performing tree based aggregation of a cost volume on the graph, where the cost volume is associated with the image and at least one view image of the scene.

Abstract: An input image showing a same object as an object shown in a reference image is identified more accurately. A difference area in the input image is determined by converting a difference area in the reference image, on a basis of geometric transformation information calculated by an analysis using a local descriptor. By matching a descriptor extracted from the difference area in the input image with the difference area in the reference image, fine differences that cannot be identified by conventional matching using only a local descriptor can be distinguished and images showing a same object can be exclusively identified.

Abstract: An apparatus for detecting a feature in an image includes an image input section for receiving at least part of the image in the form of image data having a plurality of pixels, the plurality of pixels comprising a plurality of non-border pixels, a feature detection module adapted to attribute a feature probability value to each of the pixels of the image data, and an extremum determination module for determining at least one local extremum among the feature probability values, wherein the extremum determination module is adapted to output, for each of the plurality of pixels, a final indication if the feature probability value of the pixel in question is a local extremum.

Abstract: An image processing method includes searching for areas matching each other between a plurality of input images, the plurality of input images comprising a reference image and a target image, generating hierarchical image structures formed of a plurality of hierarchical images having different resolutions with respect to the matching areas between the plurality of input images, repeatedly performing image processing based on a similarity of values of pixels matching each other in the plurality of hierarchical images of the same level by using the hierarchical image structures generated with respect to the matching areas, and generating an output image by using pixel values according to the repeated image processing.

Abstract: A system and method for training multiple pattern recognition and registration models commences with a first pattern model. The model is trained from multiple images. Composite models can be used to improve robustness or model small differences in appearance of a target region. Composite models combine data from noisy training images showing instances of underlying patterns to build a single model. A pattern recognition and registration model is generated that spans the entire range of appearances of the target pattern in the set of training images. The set of pattern models can be implemented as either separate instances of pattern finding models or as a pattern multi-model. The underlying models can be standard pattern finding models or pattern finding composite models, or a combination of both.

Abstract: Embodiments herein provide computer-implemented techniques for allowing a user computing device to extract financial card information using optical character recognition (“OCR”). Extracting financial card information may be improved by applying various classifiers and other transformations to the image data. For example, applying a linear classifier to the image to determine digit locations before applying the OCR algorithm allows the user computing device to use less processing capacity to extract accurate card data. The OCR application may train a classifier to use the wear patterns of a card to improve OCR algorithm performance. The OCR application may apply a linear classifier and then a nonlinear classifier to improve the performance and the accuracy of the OCR algorithm. The OCR application uses the known digit patterns used by typical credit and debit cards to improve the accuracy of the OCR algorithm.

Abstract: An image processing system automatically segments and labels an image using a hierarchical classification model. A global classification model determines initial labels for an image based on features of the image. A label-based descriptor is generated based on the initial labels. A local classification model is then selected from a plurality of learned local classification model based on the label-based descriptor. The local classification model is applied to the features of the input image to determined refined labels. The refined labels are stored in association with the input image.

Abstract: A system for aerial image detection and classification is provided herein. The system comprising an aerial image database storing one or more aerial images electronically received from one or more image providers, and an object detection pre-processing engine in electronic communication with the aerial image database, the object detection pre-processing engine detecting and classifying objects using a disparity mapping generation sub-process to automatically process the one or more aerial images to generate a disparity map providing elevation information, a segmentation sub-process to automatically apply a pre-defined elevation threshold to the disparity map, the pre-defined elevation threshold adjustable by a user, and a classification sub-process to automatically detect and classify objects in the one or more stereoscopic pairs of aerial images by applying one or more automated detectors based on classification parameters and the pre-defined elevation threshold.

Abstract: An image forming apparatus includes a generating unit, a print instruction providing unit, and a display. The generating unit generates print data of a sample sheet if a request for outputting the sample sheet is received while print data formed of plural pages is being generated. The print instruction providing unit provides a print instruction for the print data of the sample sheet after providing a print instruction for the print data that has been generated. The display displays, based on the print data of the sample sheet, an attribute of the sample sheet.

Abstract: Some embodiments of a card rotator include a card receptacle, a feed roller, and a motor. The card receptacle is configured to rotate about a pivot access that is approximately perpendicular to a plane of a card substrate supported by the card receptacle. The feed roller is configured to discharge a card substrate from the card receptacle. The feed roller has an axis of rotation that is approximately perpendicular to the pivot axis. The motor is configured to drive rotation of the card receptacle about the pivot axis relative to the axis of rotation of the feed roller.

Abstract: A print control apparatus includes a setting unit. The setting unit selects one or more statuses to be obtained among statuses indicating states of as image output apparatus, in accordance with content displayed on a display that displays the selected statuses. The setting unit sets a polling interval at which polling is performed to obtain the selected statuses, in accordance with a frequency of change of the selected statuses. The setting unit sets the number of parallel processes in accordance with the number of selected statuses.

Abstract: No chase control is performed in copying utilizing ACS (auto color select) determination processing. ACS determination is performed to determine whether image data is color or black-and-white image data and the chase control is performed after the ACS determination is completed.

Abstract: An electronic apparatus includes the following elements. A circuit forming device forms a circuit configured in accordance with configuration information. A first storage unit stores first configuration information externally obtained via a first communication line. The first configuration information is used for forming a first circuit implementing a function including a first communication function in the circuit forming device. A second storage unit stores second configuration information different from the first configuration information. The second configuration information is used for forming a second circuit implementing a function including the first communication function in the circuit forming device.

Abstract: An improved system and method for data card emulation involves a portable electronic device that can emulate any one of multiple data cards corresponding to multiple entities. The portable electronic device includes a memory for storing bar code information corresponding to data cards of the multiple entities. It provides an interface for identifying an entity and a display for displaying a bar code corresponding to a data card of the entity.

Abstract: Disclosed is a rechargeable payment card that can harvest charging energy from card readers. The rechargeable payment card includes a card body and electrical circuitry, a rechargeable energy storage device and a reader interface. The electrical circuitry and the rechargeable energy storage device are attached to the card body. At least a portion of the electrical circuitry needs power to operate when the card is not coupled to an external electrical energy source. The rechargeable energy storage device supplies power to said at least a portion of the electrical circuitry. The reader interface can draw an electrical current from a card reader when the card is coupled to the card reader via the reader interface. At least a portion of the drawn electrical current is used to charge the rechargeable energy storage device.

Abstract: Configurations are provided for measuring electrical current flow through an AC power cable to a host device. An enclosure is provided that includes various components, such as components of an active RFID tag. A cable clamp is provided that is configured to attach the enclosure to the AC power cable. The cable clamp includes magnetic sensors that are responsive to electrical current flowing through the AC cable to generate signals indicative of the current flowing through the AC cable.

Abstract: An IC card includes a communication unit and a controller. The communication unit can communicate with one communication destination by a plurality of interfaces including a first interface and a second interface. The controller processes a command received by the communication unit, and makes the communication unit transmit a response to the command. In a case where the first interface becomes unavailable after the communication unit receives the command by the first interface until the communication unit transmits the response to the command, the controller makes the communication unit transmit a response containing discontinuation information indicating that the transmission of the response to the command received by the first interface is discontinued by the second interface.

Abstract: The disclosed technology addresses the need in the art for a board embedded with an electronic device. In some embodiments, a board can be embedded with a Radio Frequency Emitting Device (RFED). The board can comprise at least a first layer and a second layer. The first layer can be made of a first paper based composite material and include at least a first enclosed cavity storing a RFED, wherein at least a portion of the first layer is coated with a moisture resistant material. The first layer can be affixed to the second layer that is made of a second material different than the first material, wherein at least a portion of the second layer is coated with the moisture resistant material.

Abstract: A RFID tag antenna, a RFID tag and a processing method thereof, wherein the RFID tag antenna arranged on the substrate has two parts extending along two different directions. Hence, external forces from far ends of the lateral sides of the substrate or other destructive forces exerting on the welding structure at the welded end of the antenna could be mitigated or attenuated, therefore improving the stress stability and anti-interference performance of the welding structure between the welded end of the antenna and the substrate, and further enhancing the robustness of the RFID tag in the whole life cycle. The RFID tag comprises a substrate, an integrated circuit and a pair of antenna. The antenna has a first part extending along a first direction, wherein the first part having a plurality of continuous spiral rings in a helical form and a second part which is connected with the first part and extends along a second direction.

Abstract: The present disclosure is related to a microchip apparatus, where the microchip apparatus comprises a plurality of metallic layers. Each of the metallic layers may have a respective layer thickness. The microchip apparatus also comprises electronic components integrated within the metallic layers. The electronic components may be configured to communicate data. Further, the electronic components include an antenna feed. The microchip apparatus includes an antenna coupled to the antenna feed. The antenna includes multiple loops, each loop being formed by at least one layer of the metallic layers.

Abstract: An antenna device includes a multilayer body including magnetic layers or dielectric layers that are stacked, a first coil conductor that has a winding axis extending in a direction perpendicular or substantially perpendicular to a stacking direction of the multilayer body, the first coil conductor being provided in the multilayer body, and a second coil conductor that has a winding axis extending in a direction perpendicular or substantially perpendicular to the winding axis of the first coil conductor, the second coil conductor being provided in the multilayer body.

Abstract: A thermodynamic random access memory includes one or more AHaH (Anti-Hebbian and Hebbian) node wherein read out of data is accomplished via a common summing electrode through memristive components and wherein multiple input cells are simultaneously active. A ktRAM architecture comprising a memory wherein each input synapse or “bit” of the memory interacts on or with a common electrode through a common “dendritic” electrode, and wherein each input can be individually driven. Each input constitutes a memory cell driving a common electrode.

Abstract: A memristor apparatus includes meta-stable switching elements and an AHAH (Anti-Hebbian and Hebbian) feedback mechanism that operates the meta-stable switching elements by controlling the electric field across the meta-stable switching elements. The meta-stable switching elements form a device with an electrical resistance. Additionally, in some example embodiments the memristor apparatus can include a synapse apparatus comprising a differential pair of memristor apparatuses including the memristor apparatus.

Abstract: A system and method for detecting behavior of a computing platform that includes obtaining platform data; for each data motif identifiers in a set data motif identifiers, performing data motif detection on data in an associated timescale, wherein a first data motif identifier operates on data in a first timescale, wherein a second data motif identifier operates on data in a second timescale, wherein the first timescale and second timescale are different; in a neural network model, synthesizing platform data anomaly detection with at least a set of features inputs from data motif detection of the set of motif identifiers; and signaling if a platform data anomaly is detected through the neural network model.

Abstract: Provided is a method capable of predicting the quality of cement in a short time period and with high accuracy. The method of predicting the quality or manufacturing conditions of cement through use of a neural network including an input layer and an output layer includes: performing learning of the neural network for a sufficiently large number of times of learning such that ?L<?M is obtained, using learning data and monitor data; then repeating the learning of the neural network until ?L??M is obtained while the number of times of learning is decreased; inputting specific observation data to the input layer of the neural network in which a judgment value for analysis degree obtained from the neural network after the learning is less than a preset value; and outputting an estimated value of specific evaluation data from the output layer of the neural network.

Abstract: A search facility is used to predict the impact of change on events detected in application logic, where the change may involve a computing resource used by or referenced by the application logic and/or by event detection logic. The search may be performed prior to making a change, in order to judge potential impact of the change, or after the change has been made. The search makes the prediction by evaluating semantics of conditions that specify when and/or and how an event will be detected at run-time.

Abstract: According to one exemplary embodiment, a method for solving combinatorial optimization problems is provided. The method may include receiving a plurality of problem instance parameters associated with a graph. The method may also include determining a dynamic path change indicator exists. The method may then include initializing the graph based on the determining the dynamic path change indicator does not exist. The method may further include inserting a placeholder node and at least one placeholder node edge based on the determining the dynamic path change indicator exists. The method may also include reinitializing the graph with the inserted place holder node and the at least one placeholder node edge. The method may then include initializing the reinitialized graph. The method may further include executing a hybrid algorithm on the initialized graph or on the reinitialized graph, wherein the hybrid algorithm comprises an ant colony optimization algorithm and a genetic algorithm.

Abstract: A method of building a soft linkage between a plurality of graphs includes initializing a correspondence between type-1 and type-2 objects in the plurality of graphs, and reducing a cost function by alternately updating the type-1 correspondence and updating the type-2 correspondence.

Abstract: A system, method and a computer program product may be provided for automatically creating and parameterizing a semantically-enriched diagnosis model for an entity. The system receives a list of data points, from sensors or a database, to be used to create a diagnosis model. The system automatically creates the diagnosis model based on the received list of data points and data stored in a database and parameterizes the diagnosis model. The parameterized diagnosis model reflects rules that determine one or more potential causes of one or more abnormalities of one or more physical conditions in the entity.

Abstract: A user interface comprising a plurality of questions regarding a proposed information technology project may be generated. The user interface comprising the plurality of questions regarding the proposed information technology project may be communicated to a computing device. A plurality of responses input via the user interface may be received from the computing device. Each of the plurality of responses input via the user interface may correspond to one or more of the plurality of questions regarding the proposed information technology project. An initial risk assessment score for the proposed information technology project may be calculated based on the plurality of responses input via the user interface comprising the plurality of questions regarding the proposed information technology project. A determination may be made as to whether the initial risk assessment score for the proposed information technology project meets a predetermined threshold.

Abstract: An efficient fact checking system analyzes and determines the factual accuracy of information and/or characterizes the information by comparing the information with source information. The efficient fact checking system automatically monitors information, processes the information, fact checks the information efficiently and/or provides a status of the information.

Abstract: A knowledge-based system under uncertainties and/or incompleteness, referred to as augmented knowledge base (AKB) is provided, including constructing, reasoning, analyzing and applying AKBs by creating objects in the form E?A, where A is a rule in a knowledgebase and E is a set of evidences that supports the rule A. A reasoning scheme under uncertainties and/or incompleteness is provided as augmented reasoning (AR).

Abstract: Systems and methods for providing application-controlled, power-efficient context (state) classification are described herein. An apparatus for performing context classification with adjustable granularity as described herein includes a classifier controller configured to receive a request for a context classification and a granularity input associated with the request; and a context classifier communicatively coupled to the classifier controller and configured to receive the request and the granularity input from the classifier controller, to select a resource usage level for the context classification based on the granularity input, wherein a granularity input indicating a higher granularity level is associated with a higher resource usage level and a granularity input indicating a lower granularity level is associated with a lower resource usage level, and to perform the context classification at the selected resource usage level.

Abstract: Apparatus and methods for managing and upgrading components in an infrastructure are provided. Records relating to components may be retrieved from a database and separated into subsets based on conditions of those components, the types of those components, deterioration models of those components, and/or other factors. Future condition values may be calculated for each subset, and likelihoods of failure of components may be determined for each subset based on those future condition values. The estimated condition values may be used in order to determine an optimal approach to maintaining, refurbishing, and/or replacing the components in the infrastructure. Computational efficiency is increased.

Abstract: Systems and methods are described herein for extrapolating trends in trust scores. A trust score may reflect the trustworthiness, reputation, membership, status, and/or influence of the entity in a particular community or in relation to another entity. An entity's trust score may be calculated based on data from a variety of data sources, and this data may be updated periodically as data is updated and new data becomes available. However, it may be difficult to update a trust score for an entity due to a scarcity of information. The trust score for such entities may be updated based on trends observed for the updated trust scores of other entities over a similar period of time. In this manner, trust scores may be updated for entities for which updated data is not available.

Abstract: A method includes receiving data from a sensor over time. The data comprises a plurality of values that are each indicative of a sensed condition at a unique time. The method also includes determining a real-time value, a mid-term moving average, and a long-term moving average based on the data and determining a most-recent combined average by averaging the real-time value, the mid-term moving average, and the long-term moving average. The method further includes determining an upper setpoint by adding an offset value to the most-recent combined average and determining a lower setpoint by subtracting the offset value to the most-recent combined average. The method also includes transmitting an alert based on a determination that a most recent value of the data is either greater than the upper setpoint or lower than the lower setpoint.