Abstract: A camera device transmits a captured image and flow line information of moving objects to a server device for each predetermined transmission period. The server device generates a flow line analysis image in which the flow line information of the moving objects is superimposed on the captured image and displays the generated flow line analysis image on a display. The server device displays a first flow line analysis image generated based on a captured image and flow line information in a first period which is arbitrary designated, and receives an instruction by a user operation to shift the first period by an amount. The server device sets a second period by shifting the first period by the amount without changing a length in period, and displays a second flow line analysis image generated based on a captured image and flow line information in the second period.

Abstract: Systems and methods for ground truth determination in lane departure warnings are provided. The methods include receiving time slice images of a lane captured at different time frames from an image capturing unit. The intensity profiles of these time slice images are determined and these intensity profiles of the images are smoothened to obtain a smoothened histogram. A threshold value of these time sliced images are determined and further refined to extract the lane marking of a lane. The lane extended to multiple rows of a lane to determine the ground truth value used for validating a lane departure warning.

Abstract: A traveling road surface detection device is provided. The traveling road surface device determines a road surface area, a stereoscopic object existence area where a stereoscopic object exists, and an indeterminate area other than the road surface area and the stereoscopic object existence area based on a parallax image of the surroundings of the vehicle, detects a traveling road surface that sequentially extends in a direction away from the vehicle based on the captured image, estimates a height position of a road surface within the road surface area based on the parallax information, and specifies an area including a parallax point with a height equal to or greater than a predetermined threshold value from the height position of the road surface in the indeterminate area as a parallax height existence area based on the estimated height position of the road surface and the parallax information.

Abstract: Provided herein is a device and a method for recognizing an obstacle and a parking slot to support an unmanned autonomous parking function. The device includes a motion measurement unit measuring a vehicle motion using an in-vehicle sensor, an inverse perspective transform unit performing inverse perspective transformation of an image, which is obtained using a wide-angle camera, to obtain an inverse perspective image, and an obstacle detection unit detecting the obstacle using the inverse perspective image.

Abstract: A method using Long Wave Infrared Imaging Polarimetry for improved mapping and perception of a roadway or path and for perceiving or detecting obstacles comprises recording raw image data using a polarimeter to obtain polarized images of the roadway or area. The images are then corrected for non-uniformity, optical distortion, and registration. IR and polarization data products are computed, and the resultant data products are converted to a multi-dimensional data set for exploitation. Contrast enhancement algorithms are applied to the multi-dimensional imagery to form enhanced object images. The enhanced object images may then be displayed to a user, and/or an annunciator may announce the presence of an object. Further, the vehicle may take evasive action based upon the presence of an object in the roadway.

Abstract: A surrounding environment recognition device includes: an image acquisition unit that obtains a photographic image from a camera for capturing, via a camera lens, an image of a surrounding environment around a mobile object; an image recognition unit that recognizes an object image of an object present in the surrounding environment based upon the photographic image obtained by the image acquisition unit; an accumulation detection unit that detects accumulation settled on the camera lens based upon the photographic image obtained by the image acquisition unit; a suspension decision-making unit that makes a decision, based upon detection results provided by the accumulation detection unit, whether or not to suspend operation of the image recognition unit; a tracking unit that detects a characteristic quantity in a tracking target image from a specific area in an image captured by the image acquisition unit for a reference frame, determines through calculation an estimated area where the characteristic quantity

Abstract: A second classification unit classifies each set of classified parallax points is classified into any one of a stereoscopic object category, a road surface category, and an unknown category based on the distribution of the longitudinal positions of the parallax points belonging to the set in the parallax image. A road surface estimation unit estimates a road surface based on the parallax points of the set classified into the road surface category, and a third classification unit classifies a set corresponding to a stereoscopic object among the sets classified into the unknown category based on the estimated road surface.

Abstract: To enable a user who is moving through or past a scene, e.g., along a path through a landscape or surrounding environment, and who wishes to record an image thereof, and to acquire or keep images of interest to the user without separate actuations or handling of the named type, a system is provided for producing at least one image of the scene, having at least one device for recording the at least one image, a device for acquiring a behavior of at least one user, a control unit for evaluating the behavior of the at least one user and for obtaining therefrom at least one control signal for a controlling of the device, including a selection of a recording direction and of image segments or objects that are to be recorded, for recording the at least one image in accordance with the behavior of the at least one user.

Abstract: A computer implemented system and method for automatically identifying tattoos in captured images. The method includes identifying a skin area within an image; and detecting a plurality of key points within the skin area, wherein the key points are discontinuous points. The method further includes extracting and storing location information and at least one feature for each key point, wherein the stored information describes a tattoo in the skin area.

Abstract: An imaging apparatus includes a light emitting section that emits light toward a subject, and a light receiving element that receives incident light from the subject side. The light emitting section is configured so that the light emitted from the light emitting section along an illumination direction that inclines with respect to a reference direction at an angle greater than 0° and equal to or smaller than 45° has a larger irradiation strength than the light emitted from the light emitting section along the reference direction, the reference direction being a direction perpendicular to a plane that faces the subject.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, to generate a scannable document. In one aspect, a method includes receiving a scan request, wherein the scan request includes a plurality of text images; for each text image of the plurality of text images: rectifying the text image to generate a text image with parallel image lines, generating a plurality of word bounding boxes that enclose one or more connected components in the text image, wherein each word bounding box is associated with a respective word, and generating, for each respective word in the text image, a plurality of points that represent the respective word; combining the plurality of text images to form a single text document; and providing the combined image as a scannable document.

Abstract: A device for reading and decoding paper or non-paper documents (12) including micro-perforated or “watermark” patterns and graphic patterns is provided. The device comprises at least one image sensor (11) having a light flashing means (33, 44) arranged to flash first light signals on a first side (12a, 12b) of a document (12), and image sensor reading means (31, 41) arranged to read the first light signals reflected by the graphic patterns (6, 7). The device further comprises at least one array of infrared light emitting means (14, 24) located in front of said image sensor (11) and arranged to flash second light signals on a second side (12b) of the document (12) whereby image sensor reading means (31, 41) are arranged to read the infrared light signals passing through the micro-perforated or “watermark” patterns (5).

Abstract: Methods and systems for bootstrapping an OCR engine for license plate recognition. One or more OCR engines can be trained utilizing purely synthetically generated characters. A subset of classifiers, which require augmentation with real examples, along how many real examples are required for each, can be identified. The OCR engine can then be deployed to the field with constraints on automation based on this analysis to operate in a “bootstrapping” period wherein some characters are automatically recognized while others are sent for human review. The previously determined number of real examples required for augmenting the subset of classifiers can be collected. Each subset of identified classifiers can then be retrained as the number of real examples required becomes available.

Abstract: The present invention relates to a method and a device for determining regions to be detected on a display motherboard. The method comprises acquiring a first image, acquiring detection parameters of the regions to be detected, acquiring second images which have a resolution higher than that of the first image, and correcting obtained detection parameters based on the second images. Compared with the prior art, the present invention can improve accuracy and efficiency of detection of a display motherboard.

Abstract: A system for creating de-identification programs for de-identifying DICOM image files containing DICOM images and metadata. The system provides a user interface that allows users to create de-identification programs. Each program has redaction rules specifying redaction regions in normalized coordinates defining a region of a DICOM image to be redacted to obfuscate content in the redaction region, and metadata substitution rules specifying metadata elements to be substituted with pseudonyms. The user may modify the redaction rules and metadata substitution rules, and preview the effect of the de-identification program by applying the de-identification program to DICOM images and associated metadata and displaying the resulting modified DICOM image and associated metadata. The system maintains a pseudonym memory to determine if a pseudonym has been stored for each metadata element specified by the substitution rule so that the same pseudonym is consistently used for the same element values.

Abstract: A system to identity at least a property of a substance located in an object, or located on a surface of the object, is generally described. The system may include an electromagnetic radiation (EMR) source arranged to selectively emit EMR at more than one wavelength to illuminate the surface of the object. The system may include an EMR sensor arranged to sense EMR returned from the surface and to use the returned EMR to provide an output signal that represents an image taken of the surface, the image including a plurality of pixels. The system may include a processor system arranged to compare information that is indicative of the output signal of the EMR sensor with reference information indicative of the property of the substance. The processor system may be arranged to select a first wavelength to illuminate the surface by the EMR source, and subsequently select at least one further wavelength based on whether the information concerning the property is obtained as a result of use of a preceding wavelength.

Abstract: A processor configured to execute a process includes receiving image information including biometric information, extracting, from the image information, a first phase component image representing a phase component included in the image information, converting the image information into first frequency information and converts the first phase component image into second frequency information, extracting a first feature vector and a second feature vector respectively on the basis of amplitude information of the first frequency information and the second frequency information determined in advance, and combining the first feature vector and the second feature vector on the basis of a prescribed rule.

Abstract: Methods for dip determination from an image obtained by a down-hole imaging tool. For each pixel forming the image, a probability that a symmetry axis coincides with the pixel is determined. A probability map is then generated, depicting the determined probability of each pixel coinciding with the symmetry axis. The probability map and the image are then superposed to generate a mapped image. The symmetry axis is then estimated based on the mapped image. Image pixels coinciding with a boundary of the geologic feature are then selected in multiple depth zones, and a segment of a sinusoid is fitted to the selected image pixels within each depth zone. Dip within each of the depth zones is then determined based on the fitted sinusoid segments therein.

Abstract: There is disclosed a method of determining a document type associated with a digital document, the method executable by an electronic device. A processor of the electronic device is configured to execute a plurality of machine learning algorithm (MLA) classifiers, each of the plurality of MLA classifiers having been trained to identify a specific document type. The plurality of MLA classifiers is ranked in a hierarchical order of execution of the plurality of MLA classifiers. A method of training the plurality of MLA classifiers is also disclosed.

Abstract: Digital image processing circuitry clusters a set of images into a set of first clusters of images and a set of unclustered images. The set of first clusters are merged, generating a set of second clusters of images. Images in the set of unclustered images are assigned to one of a cluster of the set of second clusters of images and an outlier image cluster. The clustered images may be partitioned into subclusters based on detection of objects in the images.

Abstract: A method for detecting an object includes acquiring a first video of a source domain where a vision-based object detector is trained. Change detection is performed on the first video to collect one or more first localized, unlabeled sample images from the source domain. A second video is acquired of a target domain where the vision-based object detector is used. Change detection is performed on the second video to collect one or more second localized, unlabeled sample images from the target domain. A domain adaptation parameter is determined based on, one or more domain shift properties between the one or more first localized, unlabeled sample images from the source domain and the one or more second localized, unlabeled sample images from the target domain. The vision-based object detector is adapted to be used for object detection in the target domain based on the domain adaptation parameter.

Abstract: A method for recognizing a target object in an image, and an apparatus, where the method includes extracting feature data from an image, and transforming the extracted feature data into a uniform expression, performing automatic clustering for features in the image according to the feature data in the uniform expression and a historical clustering result, grouping a target object of a known class included in an automatic clustering result into the corresponding known class, in order to recognize a target object of the known class in the image, and training a classifier in a machine learning manner, for a target object of an unknown class included in the automatic clustering result, in order to recognize a target object of an unknown class in the image. In the embodiments of the present invention, recognizing a target object of an unknown class can be implemented.

Abstract: In an image classification method, a feature vector representing an input image is generated by unsupervised operations including extracting local descriptors from patches distributed over the input image, and a classification value for the input image is generated by applying a neural network (NN) to the feature vector. Extracting the feature vector may include encoding the local descriptors extracted from each patch using a generative model, such as Fisher vector encoding, aggregating the encoded local descriptors to form a vector, projecting the vector into a space of lower dimensionality, for example using Principal Component Analysis (PCA), and normalizing the feature vector of lower dimensionality to produce the feature vector representing the input image. A set of mid-level features representing the input image may be generated as the output of an intermediate layer of the NN.

Abstract: Systems and methods are disclosed for deep learning and classifying images of objects by receiving images of objects for training or classification of the objects; producing fine-grained labels of the objects; providing object images to a multi-class convolutional neural network (CNN) having a softmax layer and a final fully connected layer to explicitly model bipartite-graph labels (BGLs); and optimizing the CNN with global back-propagation.

Abstract: An approach for land cover classification, seasonal and yearly change detection and monitoring, and identification of changes in man-made features may use a clustering of sparse approximations (CoSA) on sparse representations in learned dictionaries. A Hebbian learning rule may be used to build multispectral or hyperspectral, multiresolution dictionaries that are adapted to regional satellite image data. Sparse image representations of pixel patches over the learned dictionaries may be used to perform unsupervised k-means clustering into land cover categories. The clustering process behaves as a classifier in detecting real variability. This approach may combine spectral and spatial textural characteristics to detect geologic, vegetative, hydrologic, and man-made features, as well as changes in these features over time.

Abstract: Different candidate windows in an image are identified, such as by sliding a rectangular or other geometric shape of different sizes over an image to identify portions of the image (groups of pixels in the image). The candidate windows are analyzed by a set of convolutional neural networks, which are cascaded so that the input of one convolutional neural network layer is based on the input of another convolutional neural network layer. Each convolutional neural network layer drops or rejects one or more candidate windows that the convolutional neural network layer determines does not include an object (e.g., a face). The candidate windows that are identified as including an object (e.g., a face) are analyzed by another one of the convolutional neural network layers. The candidate windows identified by the last of the convolutional neural network layers are the indications of the objects (e.g., faces) in the image.

Abstract: A learning support device includes a storage portion which stores the images of model characters, an image reading portion which reads a practice sheet to generate image data, a determination portion which extracts, as an image of a determination target character, an image of a handwritten character present within the image data on the practice sheet, which acquires, from the storage portion, the image of the model character and which compares the image of the model character with the image of the determination target character so as to perform a pass/fail determination, a generation portion which generates image data on a report that includes result information indicating the result of the pass/fail determination and an output portion which outputs the report including the result information.

Abstract: Systems and methods for modifying imposition parameters using dynamically loaded media sizes. A print job is received into a computerized device comprising a marking device. The print job comprises an electronic document and print job attributes and imposition defining an arrangement of images in the electronic document for predefined dimensions of continuous feed print media. A change in print media being fed into the marking device is automatically detected, using the computerized device. The print job attributes are automatically modified, using the computerized device, based on the change in the print media, without further operator intervention.

Abstract: A computer network system and method for printing accompanying information and prescription labels in pharmacies, comprises: a central CS; a PMS; a data transmission network through which said PMS and said central CS can communicate; wherein said PMS includes an I/O terminal, a scanner, and a first printer; wherein said PMS includes a PMS SO and a Catalina SO; said PMS SO is configured to receive and store prescription information for a prescription, and to associate a prescription identification with said prescription; said Catalina SO is configure to select accompanying information for said prescription, to format and save said accompanying information in an accompanying information print file; and said PMS is configured to print a prescription label for said prescription and said accompanying information print file.

Abstract: A printing apparatus of the invention includes a medium information acquisition section that acquires medium information that can specify a type of a print medium, a printing section that discharges print ink to the print medium, a coating section that coats the print medium with precoat liquid before the printing section performs printing, and a coating control section that controls the coating section. The coating control section variably changes an amount of coating of the precoat liquid per unit area according to the acquired medium information.

Abstract: In a method for visually reviewing a print data stream present in a print data language, the print data stream is rastered using a rastering device of a printing system. The rastered print data is cached in a print data memory at the printing system. A section of the cached rastered print data can be read out using a collection process executable at the printing system. The collection process can receive and execute a request to read out a specific section of the rastered print data. The readout rastered print data can be transmitted to a display device using a real time-capable communication connection. The rastered print data can be presented at the display device.

Abstract: A power controlling device includes a detecting unit that detects a person in a detection area, a first imaging unit that takes an image of the person in a detecting range in an operating state, a second imaging unit that takes an image of a face of the person for use in user authentication in an operating state, and a power controller that supplies power to and brings the first imaging unit into the operating state if the person is detected, supplies power to and brings a processing unit that performs a process into an operating state if the approach of the person is determined on the basis of the taken image of the person, and supplies power to an brings the second imaging unit into the operating state during a period from the detection of the person to the shift of the processing unit to the operating state.

Abstract: A dynamic transaction card with EuroPay-Mastercard-Visa (“EMV”)technology that includes an EMV interface connecting EMV contacts and an EMV processor to enable a multifunctional dynamic transaction card. A method of manufacturing a dynamic transaction card with an EMV interface connecting EMV contacts and an EMV processor. A dynamic transaction card with an EMV interface may be manufactured using a separate printed circuit board (PCB) layout with EMV contact patterns placed into the top surface of a molding to create the dynamic transaction card. The edges of the EMV contact patterns would be incorporated through holes, which are trimmed to scallops, to allow for surface mounting. The EMV interface may then include a connection between the EMV contact patterns and the EMV microprocessor such that the EMV microprocessor does not have to be placed directly beneath the EMV contact patterns.

Abstract: A dynamic transaction card that includes a number of layers, each of which may be interconnected to one another. For example, a dynamic transaction card may include an outer layer, a potting layer, a sensor layer, a display layer (including, for example, LEDs, a dot matrix display, and the like), a microcontroller/microprocessor storing firmware, Java applets, Java applet integration, and the like, an EMV processor, an energy storage component, one or more antenna (e.g., Bluetooth antenna, NFC antenna, and the like), a power management component, a flexible printed circuit board (PCB), a chassis, and/or a card backing layer. A display layer may include enhanced features such as the use of display components as a barcode generator.

Abstract: A computer implemented method and apparatus for storing and retrieving data embedded into the surface of a 3D printed object is described. The method and apparatus develops an electronic file used for printing a 3D object which embeds as structure into the 3D object, a 3D symbol matrix representative of data to be printed concurrently with the 3D object, such as a 3D barcode. A selected symbology is used for making the symbol matrix in accordance with the type of printing process to be used to print the 3D object.

Abstract: Systems, methods, and non-transitory computer readable media configured to select a code. An image on which the code is superimposed is selected. A block of the code is associated with a corresponding part of the image. A desired value of opacity of the block of the code is determined based on the corresponding part of the image. A personalized code is generated based on the desired value of opacity of the block of the code.

Abstract: A payment card (e.g., credit and/or debit card) is provided with a magnetic emulator operable of communicating information to a magnetic stripe reader. Information used in validating a financial transaction is encrypted based on time such that a validating server requires receipt of the appropriate encrypted information for a period of time to validate a transaction for that period of time. Such dynamic information may be communicated using such an emulator such that a card may be swiped through a magnetic stripe reader—yet communicate different information based on time. An emulator may receive information as well as communicate information to a variety of receivers (e.g., an RFID receiver).

Abstract: A rectification circuit has a first terminal to which an alternating-current voltage is input from an antenna, a second terminal to which a direct-current voltage is input from the antenna, a first rectification element, a second rectification element, and a voltage rectification circuit. The first rectification element is connected between the first terminal and the second terminal, causes a current to flow in a first direction from the first terminal to the second terminal, and cuts off a current in a second direction from the second terminal to the first terminal. The second rectification element is connected between the first terminal and the second terminal, causes a current to flow in the second direction, and cuts off a current in the first direction. The voltage rectification circuit outputs a rectified voltage obtained by rectifying a voltage that is input between the first terminal and the second terminal.

Abstract: A radio frequency identification (RFID) automatic vehicle identification (AVI) system configured to mitigate signal interference, the system comprising a plurality of RFID readers, comprising a first RFID reader and a second RFID reader; and a plurality of antennas, wherein a first antenna is connected to the first RFID reader and a second antenna is connected to the second RFID reader. Prior to the first RFID reader transmitting a signal through the first antenna, the first RFID reader samples a received radio frequency (RF) signal from the first antenna, and if the received RF signal meets predetermined strength and frequency criteria, the first RFID reader inhibits transmission of the signal through the first antenna.

Abstract: A dynamic transaction card that is manufactured using conductive plastic jumpers that will dissolve when in contact with a solvent used to tamper with the dynamic transaction card. Internal components of a dynamic transaction card may be manufactured using a synthetic or semi-synthetic organic material, such as, for example, plastics. These materials may be conductive to provide functionality to a dynamic transaction card, such as a connection between an integrated circuit and other card components such that when the materials dissolve, the connections are broken and the dynamic transaction card may be inactive due to the loss of various connections.

Abstract: A dynamic transaction card that includes a number of layers, each of which may be interconnected to one another. For example, a dynamic transaction card may include an outer layer, a potting layer, a sensor layer, a display layer (including, for example, LEDs, a dot matrix display, and the like), a microcontroller/microprocessor storing firmware, Java applets, Java applet integration, and the like, an EMV processor, an energy storage component, one or more antenna (e.g., Bluetooth antenna, NFC antenna, and the like), a power management component, a flexible printed circuit board (PCB), a chassis, and/or a card backing layer. A display layer may include enhanced features such as the use of LED display components as a photosensor.

Abstract: An auxiliary mounting structure, for mounting an advanced smart card which has a contact side with a number of smart card contacts, onto a Subscriber Identity Module (SIM) card is disclosed. The auxiliary mounting structure is formed by a board and has several key parts. With the help of the auxiliary mounting structure, the advanced smart card can be easily attached to the SIM card without aligning contacts.

Abstract: [Object]To provide an information processing device that, when a plurality of IC chips for performing contactless communication are connected to a single coil antenna, can appropriately supply power to the IC chips according to communication characteristics required for the respective IC chips. [Solution]There is provided an information processing device including a coil antenna configured to receive an external magnetic field and thereby generate power, and a first IC chip and a second IC chip each connected in parallel to the coil antenna and configured to receive power supplied from the coil antenna. Power received by the first IC chip from the coil antenna is different from power received by the second IC chip from the coil antenna.

Abstract: A surface mount technology (SMT)-compatible barcode-printable radio frequency identification (RFID) label that can be attached to a printed circuit board (PCB) work piece for tracking the work piece through an assembly line that includes at least one reflow solder process. The label is constructed from materials and components that function consistently and accurately after being exposed to the high temperature of the reflow solder process, and may further include shieling material to mitigate radio frequency interference. Preferably, the label is configured to be programmed and printed on using an RFID printer.

Abstract: A button with a near field communication module comprises a top housing and a bottom base, and the two elements are mounted with four through holes for knit with a needle and a thread. The top housing further comprises a positioning tenon. The bottom base comprises a connecting slot in a location thereof corresponding to the positioning tenon. Furthermore, the bottom base comprises a holding recess in an inner ring thereof to accommodate a near field communication antenna and a near field communication chip. In such a way, anything with the button and a smart device can transmit data reciprocally.

Abstract: Using a recurrent neural network (RNN) that has been trained to a satisfactory level of performance, highly discriminative features can be extracted by running a sample through the RNN, and then extracting a final hidden state hi, where i is the number of instructions of the sample. This resulting feature vector may then be concatenated with the other hand-engineered features, and a larger classifier may then be trained on hand-engineered as well as automatically determined features. Related apparatus, systems, techniques and articles are also described.

Abstract: Conversion of a large-footprint DNN to a small-print DNN is performed using a variety of techniques, including split-vector quantization. The small-foot print DNN may be distributed to a variety of devices, including mobile devices. Further, the small-footprint DNN may aid a digital assistant on a device in interpreting speech input.

Abstract: Systems and methods for training a neural network to optimize network performance, including sampling an applied dropout rate for one or more nodes of the network to evaluate a current generalization performance of one or more training models. An optimized annealing schedule may be generated based on the sampling, wherein the optimized annealing schedule includes an altered dropout rate configured to improve a generalization performance of the network. A number of nodes of the network may be adjusted in accordance with a dropout rate specified in the optimized annealing schedule. The steps may then be iterated until the generalization performance of the network is maximized.

Abstract: The present disclosure includes acquiring a keyword of information to be replied to, as a first feature, and acquiring a keyword of a pending reply in a pending reply set as a second feature, calculating, according to a correlation between the first feature and the second feature, a match between the information to be replied to and the pending reply, where the correlation between the first feature and the second feature is obtained through multiple trainings according to an original text and a reply to the original text that are acquired from a corpus environment, where the corpus environment includes a microblog, a forum, and a post bar, repeating the foregoing steps, until matches between the information to be replied to and all pending replies are obtained, and selecting a best matched pending reply as a reply to the information to be replied to.

Abstract: Systems and methods for training a neural network to optimize network performance, including sampling an applied dropout rate for one or more nodes of the network to evaluate a current generalization performance of one or more training models. An optimized annealing schedule may be generated based on the sampling, wherein the optimized annealing schedule includes an altered dropout rate configured to improve a generalization performance of the network. A number of nodes of the network may be adjusted in accordance with a dropout rate specified in the optimized annealing schedule. The steps may then be iterated until the generalization performance of the network is maximized.