Abstract: A computer-implemented method is provided for classifying an input signal against a set of pre-classified signals. A computer system may calculate, for each of one or more signals of the set of pre-classified signals, a parallelism value indicating a level of the parallelism between that signal and the input signal. The computer system may calculate, for a first subset of the set of pre-classified signals, a sparse vector, wherein each element of the sparse vector serves as a coefficient for a corresponding signal of the first subset. The computer system may determine, for each of the signals in the set of pre-classified signals, a similarity value indicating a level of similarity between that signal and the input signal.

Abstract: A computer-implemented method of digital image analysis includes obtaining first digital video of a human subject that indicates facial expressions of the human subject; performing micro-expression analysis on the human subject using the first digital video; comparing results of the performed micro-expression analysis with content of a presentation determined to have been provided to the human subject at the same time that particular portions of the digital video were initially captured; and modifying a manner of performing interaction with the human subject or other human subjects based on the comparing of results.

Abstract: Disclosed are a lip-reading recognition method and apparatus based on a projection extreme learning machine. The method includes: obtaining a training sample and a test sample that are corresponding to the projection extreme learning machine PELM, where the training sample and the test sample each include n videos, n is a positive integer greater than 1, the training sample includes a category identifier corresponding to each video in the training sample; training the PELM according to the training sample, and determining a weight matrix W of an input layer in the PELM and a weight matrix ? of an output layer in the PELM, to obtain a trained PELM; and identifying a category identifier of the test sample according to the test sample and the trained PELM. The lip-reading recognition method and apparatus based on the projection extreme learning machine can improve lip-reading recognition accuracy.

Abstract: A system and method for detecting human intruders while rejecting/ignoring an occupant's registered pet. An object detection system is configured to detect an object that is present in a monitored area and generate a signal output relative to the type of object. A signature processor is configured to receive the generated signal output and produce an object signature, and compare a threshold signature to the object signature, wherein the threshold signature is generated using a photograph of a reserved object, and wherein the object detection system rejects the detected object when the object signature is determined to be similar to the threshold signatures.

Abstract: Provided are methods and system for recognizing characters such as mathematical expressions or chemical formulas. An example method comprises the steps of receiving and processing an image by a pre-processing module to obtain one or more candidate regions, extracting features of each of the candidate regions by a feature extracting module such as a convolutional neural network (CNN), encoding the features into a distributive representation for each of the candidate regions separately using an encoding module such as a first long short-term memory (LSTM) based neural network, decoding the distributive representation into output representations using a decoding module such as a second LSTM-based recurrent neural network, and combining the output representations into an output expression, which is outputted in a computer-readable format or a markup language.

Abstract: According to one embodiment, a delivery handling apparatus includes a recognition portion which performs an image recognition processing to an image imaged by an imaging portion to image a delivery object, to recognize information including an address given to the delivery object and a parameter selecting portion which sequentially selects parameter sets from a plurality of the parameter sets previously stored in a storage portion and a control portion which makes the parameter selecting portion sequentially select parameter sets from a plurality of the parameter sets, and the recognition portion perform an image recognition processing to an image with the parameter sets selected by the parameter selecting portion, and the parameter selecting portion select the parameter set satisfying a prescribed condition, based on a result of the image recognition processing corresponding to the respective parameter sets.

Abstract: A device for capturing rendered text is described. The device incorporates one or more visual sensors that receive visual information as a part of capturing rendered text. The visual sensors are collectively capable of capturing both text that is permanently printed on a page, and text that is displayed transitorily on a dynamic device. The device further incorporates a visual information disposition subsystem for disposing of visual information received by the visual sensors. The device further incorporates a package that bears the visual sensors and the visual information disposition subsystem, and is suitable to be held in a human hand.

Abstract: An approach is provided for testing an Internet of Things device. First data captured on video and indicating visual device output and second data indicating non-visual device output are received during testing of the device. An event log of the device is received. Human interactions with the device are received. The first and second data, the event log entries, and indications of the human interactions are overlaid onto frames of the video that include the device, so that timings of the frames are correlated with timestamps of the overlaid items. Based on the overlaid items, performance, functionality, and usability issues are detected and markers of the issues are generated and overlaid onto a timeline of the video. Responsive to a user selection of one of the markers, the computer locating and displaying a frame of the video that depicts the issue that corresponds to the selected marker.

Abstract: Determining positions of parcels within a container to create a visualization of the position of the parcels relative to and within the container. The visualization includes whether the packaging of the parcels within the container violates a defined packing policy.

Abstract: Embodiments of the present invention provide systems and methods for image correlation and distribution. The method includes receiving an image depicting at least one person, metadata for the image, contact data, facial recognition data, and location data. The method further includes analyzing the image and other data, and determining the identity of people in the image based on the facial recognition data and the location data.

Abstract: The present disclosure discloses a photo processing method and an apparatus for grouping photos into photo albums based on facial recognition results. The method includes: performing face detection on multiple photos, to obtain a face image feature set, each face image feature in the face image feature set corresponding to one of the multiple photos; determining a face-level similarity for each pair of face image features in the face image feature set; determining a photo-level similarity between each pair of photos in the multiple photos in accordance with their associated face-level similarities; generating a photo set for each target photo in the multiple photos, wherein any photo-level similarity between the target photo and another photo in the photo set exceeds a predefined photo-level threshold; and generating a label for each photo set using photographing location and photographing time information associated with the photos in the photo set.

Abstract: Techniques are disclosed for analyzing a scene depicted in an input stream of video frames captured by a video camera. The techniques include evaluating sequence pairs representing segments of object trajectories. Assuming the objects interact, each of the sequences of the sequence pair may be mapped to a sequence cluster of an adaptive resonance theory (ART) network. A rareness value for the pair of sequence clusters may be determined based on learned joint probabilities of sequence cluster pairs. A statistical anomaly model, which may be specific to an interaction type or general to a plurality of interaction types, is used to determine an anomaly temperature, and alerts are issued based at least on the anomaly temperature. In addition, the ART network and the statistical anomaly model are updated based on the current interaction.

Abstract: Image data relating to real-world objects or persons is collected from a scene while collecting audio data relating to the real-world objects or persons from the same scene. The audio data is used to derive sound objects corresponding to the real-world objects or persons. The image data is used to derive video objects corresponding to the real-world objects or persons. Based on the sound objects and the video objects, candidate salient objects are generated. A salient object is selected from among the candidate salient objects. Perceptual enhancement operations are performed on the selected salient object.

Abstract: Systems, methods, and computer-readable media are disclosed for capturing gaze data for a referee over the course of a sports match, identifying a key performance indicator (KPI) corresponding to a sports domain with which the sports match is associated, and generating KPI data corresponding to the KPI. The KPI data may be analyzed to assess a likelihood that an officiating decision made by the referee during the sports match is accurate as well as to assess the likelihood that referee bias contributed to the officiating decision. KPI data for a referee may also be aggregated across multiple sports domain KPIs and multiple sports matches and categorized into different decision categories. A bias/confidence pattern may then be determined for the referee based at least in part on the categorization, and a profile may be determined for the referee based at least in part on the bias/confidence pattern.

Abstract: A video surveillance display system comprises an image acquisition apparatus, an image processing apparatus, an image display apparatus, an image controlling apparatus and an image input apparatus. The image acquiring device is operatively connected to the image processing apparatus. The image display apparatus is operatively connected to the image processing apparatus and the image controlling apparatus. The image controlling apparatus is operatively connected to the image input apparatus. Users can choose which part of the video stream they want to watch by sending input commands to the system. The system can truncate the digital signal in accordance with the height and width of video frames and the default display as well as users commands to present the display images users chosen. The system can display images of different monitoring areas selected by the users and present the modularized high-definition image without compression to guarantee users' safety.

Abstract: Systems and methods for determining a movement track of a target are provided. In some aspects, a method includes obtaining target image information captured using a current imaging device, and determining whether preset information exists in the target image information. The method also includes obtaining, based on the determination, a geographic location of the current imaging device, and determining the movement track of the target using the geographic location and a motion state of the target. The method further includes generating a report indicating the movement track.

Abstract: A process is provided for examining a loss of media of a motor vehicle. By use of a first camera arranged on a motor vehicle, a driving route in the area in front of a motor vehicle that is driving in the travel direction and is to be monitored is scanned. The route behind the motor vehicle to be monitored is scanned by way of a second camera arranged on a motor vehicle. When scanning the driving route, a forward image and a rearward image are acquired. The two images are compared for detecting a medium lost by the motor vehicle to be monitored. The corresponding medium can be classified. Appropriate actions can be automatically carried out corresponding to the classification of the medium.

Abstract: A method of detecting objects of interest in a vehicle image processing system comprising: a) capturing an image on a camera; b) providing a plurality of potential candidate windows by running a detection window at spatially different locations along said image, and repeating this at different image scaling relative to the detection window size; c) for each potential candidate window applying a candidate selection process adapted to select one or more candidates from said potential candidate windows; d) forwarding the candidates determined form step c) to a convolutional neural network (CNN) process; e) processing the candidates to identify objects of interest; characterized wherein the candidate input into the convolutional neural network (CNN) process have been resized by step b).

Abstract: Systems and methods are provided for analyzing vehicle signal lights in order to operate an autonomous vehicle. A method includes receiving an image from a camera regarding a vehicle proximate to the autonomous vehicle. Data from a lidar sensor regarding the proximate vehicle is used to determine object information for identifying a subsection within the camera image. The identified subsection corresponds to an area of the proximate vehicle containing one or more vehicle signals. One or more vehicle signal lights of the proximate vehicle is located by using the identified camera image subsection as an area of focus.

Abstract: Systems and method are provided for controlling a vehicle. In one embodiment, a determination is made that a traffic control person and a traffic control sign are present within the environment of the vehicle based on sensor data, such as optical camera data. The position and orientation of the traffic control sign relative to the traffic control person is determined, e.g., via lidar sensor data, and the validity of the traffic control person and the traffic control sign is determined based on the position and orientation of the traffic control sign.

Abstract: An apparatus for tracking a gaze of a user is provided. The apparatus includes a memory including computer executable instructions; and a processor that reads and executes the computer executable instructions. The instructions cause the processor to receive gaze information associated with the gaze of the user; based on the gaze information, determine whether change information associated with the gaze of the user is greater than a threshold value; and in response to determining the change information is greater than the threshold value, predict at least one from among a gaze vector of the gaze of the user and a location of a gaze target of the gaze of the user based on a kinematic model. The gaze tracking apparatus may be used in a vehicle to perform vehicle functions based on the gaze of a user of a vehicle or to update gaze modeling database.

Abstract: Provided are an apparatus and method for monitoring driver's concentrativeness capable of monitoring whether a driver is concentratedly obtaining major information by tracing a driver's sight while a vehicle is running, in order to provide alarm to the driver when driver's concentrativeness is dropped at a time when the major information is changed while the vehicle is running.

Abstract: Embodiments of the present invention disclose interactive methods, interactive apparatus, and user equipment. An interactive method disclosed herein comprises: acquiring a piece of user input information, wherein the piece of user input information comprises at least two pieces of biometric feature information and at least one piece of input action information corresponding to the at least two pieces of biometric feature information; determining at least two pieces of content respectively corresponding to the at least two pieces of biometric feature information; determining inter-content operation information corresponding to the at least one piece of input action information; and performing an interactive operation corresponding to the inter-content operation information, wherein the interactive operation is associated with the at least two pieces of content.

Abstract: An electronic device includes a display including at least one pixel and at least a partial area of which is transparent. The electronic device also has a fingerprint sensor disposed in an area under the display, on which a screen is displayed, to collect light, a direction of which is changed by an object approaching the display and acquire image information related to fingerprint authentication. In addition, the electronic device has a processor adapted to acquire image information of the fingerprint sensor.

Abstract: An image transfer method and an image recognition method that are useful in performing an image recognition process on photographs (photographed images) of participants taken at events. In the image transfer method, moving image data is generated by converting image data received from an outside to moving image frames, and is transmitted to an image recognition device. In the image recognition method, at least one virtual computer is activated. The moving image data from an image transfer device is stored in a cloud data storage section. The virtual computer receives the stored moving image data, and performs the image recognition process on image data converted from the moving image data. The virtual computer transmits processing results to the cloud data storage section. The virtual computer is terminated after termination of the image recognition process.

Abstract: An image processing apparatus, an image processing system, a vehicle, an imaging apparatus and an image processing method for dynamically determining an image processing area in a captured image of vehicle's surrounding area are provided. The image processing apparatus, mounted on the vehicle, includes a processor configured to determine an image processing area on a captured image of a traveling path The processor is configured to perform processing to determine at least a part of an approximate line corresponding to a distal end of the traveling path in the captured image based on at least one of the luminance information and the color information of the captured image and processing to determine the image processing area based on a position previously determined relative to at least a part of the approximate line.

Abstract: A method is disclosed of discriminating detected objects in an area with a vision apparatus. The method includes generating image data of a portion of the area using an imaging device of the object detection device, and processing the image data to classify the image data as an imaged scene type selected from a plurality of scene types stored as scene type data in the memory. The method further includes processing the image data using the object identification data to generate object detection data for each object of the plurality of objects located in the portion of the area, each object detection data having a corresponding scene type of the plurality of scene types obtained from the object identification data, and generating user a sensible output only for the object detection data having a corresponding scene type that is the same as the imaged scene type.

Abstract: The present disclosure provides a method including memorizing a sequence of high-resolution images of a scene in a buffer, obtaining radiation emission readings from one or more photo detectors, detecting a suspected flash event based on processing the radiation emission readings from the one or more photo detectors. The method may further include that the detecting occurs at a first instant, retrieving from the buffer high-resolution images of the scene including at least one image that was captured prior to said first instant, and processing the high-resolution images of the scene to determine a geolocation of the suspected flash event.

Abstract: Methods and systems for detecting keypoints in image data may include an image sensor interface receiving pixel data from an image sensor. A front-end pixel data processing circuit may receive pixel data and convert the pixel data to a different color space format. A back-end pixel data processing circuit may perform one or more operations on the pixel data. An output circuit may receive pixel data and output the pixel data to a system memory. A keypoint detection circuit may receive pixel data from the image sensor interface in the image sensor pixel data format or receive pixel data after processing by the front-end or the back-end pixel data processing circuits. The keypoint detection circuit may perform a keypoint detection operation on the pixel data to detect one or more keypoints in the image frame and output to the system memory a description of the one or more keypoints.

Abstract: A computer-implemented method of grouping faces in large user account for creating an image product includes adding the face images obtained from an image album in a user's account into a first chunk; if the chunk size of the first chuck is smaller than a maximum chuck value, keeping the face images from the image album into the first chunk; otherwise, automatically separating the face images from the image album into a first portion and one or more second portions; keeping the first portion in the first chunk; automatically moving the second portions to subsequent chunks; automatically grouping face images in the first chunk to form face groups; assigning the face groups to known face models associated with the user account; and creating a design for an image-based product based on the face images in the first chunk associated with the face models.

Abstract: A page orientation component of an image processing device receives an image of a document, transforms the image to a binarized image by performing a binarization operation on the image, and identifies a portion of the binarized image that comprises one or more rows of textual content. The page orientation component identifies a plurality of horizontal runs of white pixels and a plurality of vertical runs of white pixels in the one or more rows of textual content in the portion of the binarized image. The page orientation component generates a first histogram for the plurality of horizontal runs of white pixels, and a second histogram for the plurality of vertical runs of white pixels, and determines an orientation of the one or more rows of textual content in the image based on the first histogram and the second histogram.

Abstract: In one embodiment, a plurality of patches of an image are processed using a first deep-learning model to detect a plurality of features associated with the first patch of the image. Each patch includes one or more pixels of the image. Using a second deep-learning model, a respective object proposal is generated for each of the plurality of patches of the image. The second deep-learning model takes as input the plurality of detected features associated with the respective patch of the image, and each object proposal includes a prediction as to a location of an object in the patch. Using a third deep-learning model, a respective score is computed for each object proposal generated using the second deep-learning model. The third deep-learning model takes as input the plurality of detected features associated with the respective patch of the image, and the object score may include a likelihood that the patch contains an entire object.

Abstract: An image signal processor (ISP) processes received image frame data. In order to reduce power consumption caused by the processing of substantially similar image tiles of received image frames, differential processing may be used to determine which image tiles of a received image frame should be processed by the ISP, based upon a comparison between the received image tiles and previously received image tile data. In addition, differential processing may be automatically disabled in response to a determination that the image frames are too different from each other to realize any savings in processing resources or memory usage, and reenabled in response to a determination the received image frames are similar enough such that power savings can be realized through differential processing.

Abstract: This disclosure relates to training a classifier algorithm that can be used for automatically selecting tags to be applied to a received image. For example, a computing device can group training images together based on the training images having similar tags. The computing device trains a classifier algorithm to identify the training images as semantically similar to one another based on the training images being grouped together. The trained classifier algorithm is used to determine that an input image is semantically similar to an example tagged image. A tag is generated for the input image using tag content from the example tagged image based on determining that the input image is semantically similar to the tagged image.

Abstract: An imaging quality control system (80) employing an imaging quality controller (84) and a monitor (81). In operation, the imaging quality controller (84) executes an image processing of subject image data of the anatomical object (e.g., subject non-segmentation-based or segmentation-based image registration of US, CT and/or MRI anatomical images), and assessing an accuracy of the image processing of the subject image data of the anatomical object as a function of a subject Eigen weight set relative to a training Eigen range set (e.g., previously registered or segmented US, CT and/or MRI anatomical images). The subject Eigen weight set is derived from the subject image data of the anatomical object, and the training Eigen range set is derived from training image data of anatomical object. The monitor (81) displays the assessment of the accuracy of the image processing of the subject image data of the anatomical object by the imaging quality controller (84).

Abstract: Provided are an object recognition integration device and an object recognition integration method, which are capable of integrating pieces of detection data that are detected by a respective plurality of sensors in consideration of an inaccuracy of identification of objects. An association relationship between measurement data and previous object data is determined based on an object type and a certainty for each object type candidate contained in measurement data generated for each of the plurality of sensors, and an object type and a certainty for each object type candidate contained in the previous object data. Then, association data is generated by associating the measurement data and the previous object data, which are determined as having “possibility of association”, with each other, to thereby generate current object data by updating the previous object data with use of the association data.

Abstract: A machine learning model is trained by defining a scenario including models of vehicles and a typical driving environment. A model of a subject vehicle is added to the scenario and sensor locations are defined on the subject vehicle. A perception of the scenario by sensors at the sensor locations is simulated. The scenario further includes a model of a parked vehicle with its engine running. The location of the parked vehicle and the simulated outputs of the sensors perceiving the scenario are input to a machine learning algorithm that trains a model to detect the location of the parked vehicle based on the sensor outputs. A vehicle controller then incorporates the machine learning model and estimates the presence and/or location of a parked vehicle with its engine running based on actual sensor outputs input to the machine learning model.

Abstract: In one embodiment, an advertisement is matched to subject matter in a portion of rich media content, such as a digital video, Flash™ animation, etc. For example, during the playing of rich media content, it may be determined by audio recognition techniques that the content's subject matter matches or correlates with an advertisement. Rendering preferences associated with the advertisement are then determined. The rendering preferences may be used to determine how the advertisement should be rendered (i.e., displayed in association with the content). The advertisement is then served to a device. The advertisement is served such that it can be rendered relative to a time that the portion of media is being displayed on the device.

Abstract: It is an object of the present invention to improve visibility for observation with naked eyes or for camera shooting without spoiling the appearance during marking inside a. transparent medium using a laser. By irradiating an inside of a transparent medium with a laser, the present invention forms a micro-denatured region in each of a first layer and a second layer inside the medium. The micro-denatured regions in the respective layers are arranged out of alignment with each other on a two-dimensional plane (refer to FIG. 1).

Abstract: A receipt printing apparatus comprises a printer including a processor and a printing unit that is capable of printing on a printing medium. A registration device is connected to the printer. The printer stores a control program that when implemented by the processor causes the printer to acquire transaction details from the registration device, to receive a selection of a first output receipt type and a second output receipt type, and to output the transaction details in the selected one of the first output receipt type and the second output receipt type.

Abstract: Methods and systems for dynamically determining interchange fees. In an embodiment, an acquirer computer transmits a payment card account authorization request to a payment processing network, and receives an authorization response authorizing the transaction and comprising a spending history indication reflecting a compilation of spending history data of a group of payment card accounts that qualify for dynamic interchange rate setting.

Abstract: Weighted transaction cards and methods of manufacturing the same. The weighted transaction cards may include a tungsten member that comprises at least a portion of a layer of the transaction card. The tungsten member may be encapsulated and/or disposed in an opening of a surround to define and inlay. The inlay may be laminated with one or more additional layers according to traditional card manufacturing techniques (e.g., a hot lamination process). The weighted transaction cards may have a weight significantly greater than traditional plastic transaction cards such that the weighted transaction cards.

Abstract: There are provided systems and methods for suspending and resuming transactions through wireless beacon communications. A merchant may set up a wireless beacon with employee devices. The beacons may connect to a user's device and assist the employee with determining and suspending a transaction for the user. Based on the connections between the user's device and a wireless beacon attached to an employee device, the employee device may receive an identifier for the user. The identifier may also be received from a previous check-in by the user. The employee or a user may scan one or more items that the user may wish to purchase. A transaction may be generated using the scan and may be associated with the user's identifier. Later the transaction may be recalled using the user's identifier or a transaction code identifying the transaction. Payment information for the user may also be associated with the transaction.

Abstract: The invention relates to a data carrier comprising a storage layer forming a plurality of first surface elements (6). The storage layer (2) has at least one optical characteristic, which is optically anisotropic and which varies spatially between the first surface elements (6). A cover layer (3) over the storage layer (2) forms a plurality of second surface elements (10), each acting as a polarisation filter for a predetermined polarisation direction. The predetermined polarisation direction varies between the second surface elements (10). The storage layer can contain in particular bacteriorhodop sin in the form of a purple membrane. The invention also relates to a method for the production and reading of a data carrier of this type.

Abstract: A credit card shaped element with a dynamic stripe which may be activated or deactivated, where the stripe is formed by a plurality of coils provided along the curve thereof, where the plurality of coils are activated in a sequential manner, where a plurality of proximity sensing coils are provided in series along the curve thereof, where the plurality of coils are formed by one coil contacted at multiple positions along its length by contact pads and where the signals fed to the coils cause an output of a reader coil to output a signals with a minimum slope or where one signal fed to one track has no peaks when the other signal is close to zero.

Abstract: A wireless sensor platform design and a single walled carbon nanotube/ionic liquid-based chemidosimeter system can incorporated into a highly sensitive and selective chemical hazard badge that can dosimetrically detect an analyte down to a sub parts-per-million concentration.

Abstract: A rack monitoring device including a memory, and a processor coupled to the memory and the processor configured to obtain a first tag information on a tag stuck associated with a rack and a second tag information on a tag stuck associated with the device, determine whether or not a position of the device in the rack has been changed based on the first tag information and the second tag information, execute an update of reference image information when it is determined that the position of device in the rack has been changed, the reference image information corresponding to a specified state of a device mounted in the rack, execute monitoring of state of the rack based on the updated reference image information.

Abstract: Flexible, stretchable RFID tags are formed by a pocket that is formed from one or more substrates and layers of adhesive, and an electronic circuit that is located within this pocket. The RFID tags can include a stretchable substrate and an electronic circuit attached to the stretchable substrate by one or a finite number of discrete spaced apart attachment locations. When the pocket is formed by relatively thick adhesive layers adhering together one or more flexible substrates to form an internal cavity, the electronic circuit is located within this cavity and either is not adhered to any of the substrates of the cavity, and is free to move about within the cavity, or the electronic circuit can be attached to a substrate by a thin layer of adhesive.

Abstract: Aspects of the invention relate to a smart card that includes an OLED display. The smart card may store data associated with multiple purchasing instruments and utilize the OLED display to present sensitive data associated with a user selected purchasing instrument. In response to the selection, the smart card may transmit sensitive data associated with the selected purchasing instrument. The OLED display may allow the smart card to include a customizable face. The OLED display may present video, colors or any suitable text. For example, the OLED display may present a user's credit limit, rewards or spend categories. Such smart cards may be easily re-branded as a result of the smart card not being permanently tied to an embossed number. New sensitive data may be pushed to the smart card and thereby allow it to be used immediately based on the new sensitive data.

Abstract: A counting device for counting mechanical inputs comprising: a rotatably mounted first counting wheel arranged to rotate by a predetermined amount for every input that is to be counted; and, a second counting wheel in mechanical communication with the first counting wheel, and at least in part overlapping the first counting wheel, wherein the second counting wheel and/or the first counting wheel are at least in part transparent; whereby the mechanical communication between the first counting wheel and the second counting wheel comprises a rotation mechanism configured to drive the second counting wheel a predetermined amount when a predetermined number of inputs has been reached.