Abstract: A biometric image sensor system and method is disclosed which may comprise a first light source having a first wavelength ?1, a second light source having a second wavelength ?2, a photodetector configured and positioned to receive light of the first wavelength ?1 and light of the second wavelength ?2 reflecting from a biometric object being imaged and to produce a first output indicative of the amount of reflectance of the light of the first wavelength ?1 and a second output indicative of the amount of reflectance of the light of the second wavelength ?2, and a computing device configured to compare the difference between the first output and the second output with an authenticity threshold.

Abstract: Methods and apparatuses are provided for executing a function of an electronic device using fingerprint verification. A security level of the function to be performed is acquired, if the function requires the fingerprint verification. A fingerprint input of a user is received. A count of a number of matching points that exist between the fingerprint input and a prestored fingerprint is determined. The count of the number of matching points is compared with a minimum number of matching points corresponding to the security level of the function.

Abstract: A remote data capture system includes a host computing device. A client computing device is communicatively coupled to the host computing device. A capture device having a sensor is coupled to the client computing device. The capture device is configured to receive an electrical input signal from the sensor, convert the input signal to corresponding input data having a predetermined format, compress the input data to a variable-length bit stream, and convert the bit stream to keyboard codes. The client computing device selectably transmits the keyboard codes to the host computing device.

Abstract: A user of a computing device can be authenticated using image information captured by at least one camera of the computing device. In addition to analyzing the image information using a facial recognition algorithm, for example, variations in color of a portion of the captured image information corresponding to a user's face can be monitored over a period of time. The variations can be analyzed to determine whether the captured image information likely corresponds to an actual human user instead of a representation (e.g., photo) of a human user, such as where the chroma variations in at least a red channel occur with an oscillation frequency and amplitude consistent with changes due to a pulse or heartbeat.

Abstract: An information terminal includes acquiring an image of a first subject that is captured by a first sensor provided on a back surface of a surface on which a screen of the information terminal is disposed, and when displaying the image on the screen, changing a degree of scaling up/down of the image and a position at which the image is displayed in accordance with a position of a second subject that is imaged by a second sensor provided to the information terminal.

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: An exercise support system includes a plurality of imaging devices, a 3D generation section, an evaluation reference memory, and an evaluation section. The imaging devices are configured to capture videos for movements of a person to be evaluated. The 3D generation section is configured to generate 3D model data of the person to be evaluated based on the video captured by each of the imaging devices. The evaluation reference memory is configured to store reference 3D model data that is 3D model data to become an evaluation reference of an exercise. The evaluation section is configured to evaluate the movements of the person to be evaluated by comparing between the reference 3D model data and the 3D model data generated by the 3D generation section in each body part of the person to be evaluated.

Abstract: Various arrangements for recognizing gestures are presented. A plurality of color images of a scene may be received. Each image of the plurality of color images may be processed to make a plurality of processed color images. The processing of an image of the plurality of color images may comprise grouping pixels of the image being processed into a plurality of clusters based on color. A gesture may be identified using movement of a cluster of the plurality of clusters in the plurality of processed color images.

Abstract: A portable information processing apparatus according to one embodiment includes at least an image pick-up portion, a recognition module recognizing a detection target which includes a part of a user within an image obtained by the image pick-up portion and outputting change over time in position of recognition of the detection target, a processing module performing processing in accordance with change over time in position of recognition of the detection target, and a correction module correcting change over time in position of the detection target output by the recognition means in accordance with change in posture of the information processing apparatus.

Abstract: To provide an information processing system, an information processing method, and a program, whereby it is possible, using a plurality of video camera videos, to desirably carry out person tracking. An information processing system includes: an appearance time score computation unit which computes a time from when a first mobile body exits a frame from a video of a first video camera to when a second mobile body enters a frame of a video of a second video camera; and a person association unit which, on the basis of an attribute of the first mobile body, a degree of similarity between the first mobile body and the second mobile body, and the time, determines whether the first mobile body and the second mobile body are the same mobile body.

Abstract: In order to provide a stereoscopic camera apparatus capable of rapidly and accurately detecting a three-dimensional object even when the three-dimensional object abruptly appears in an angle of view, a stereoscopic camera apparatus 100 includes: three-dimensional object detecting means 105, 106, 107; to-be-covered object detecting means 108 for detecting a to-be-covered object having a known shape; and to-be-covered object covering-detecting means 109 and 110 for detecting whether or not the three-dimensional object detected by the three-dimensional object detecting means covers the to-be-covered object when the to-be-covered object is detected by the to-be-covered object detecting means 108.

Abstract: According to one embodiment, an electronic device includes a stroke manager and a controller. The stroke manager is configured to store on a storage medium handwritten documents including stroke data items corresponding to strokes. The controller is configured to acquire a result of a search. The search includes least one of a character-string search and a handwriting search. The search is based on a value associated with an aspect ratio of a first stroke group.

Abstract: A method for image processing, including: obtaining an image including a table; identifying a first plurality of geometric lines in the image; grouping the first plurality of geometric lines into a plurality of clusters; determining a plurality of hand-drawn lines in the image corresponding to the table from the plurality of clusters; calculating a plurality of points for the plurality of hand-drawn lines; and determining a geometry of the table based on the plurality of points.

Abstract: The subject disclosure is directed towards communicating image-related data between a base station and/or one or more satellite computing devices, e.g., tablet computers and/or smartphones. A satellite device captures image data and communicates image-related data (such as the images or depth data processed therefrom) to another device, such as a base station. The receiving device uses the image-related data to enhance depth data (e.g., a depth map) based upon the image data captured from the satellite device, which may be physically closer to something in the scene than the base station, for example. To more accurately capture depth data in various conditions, an active illumination pattern may be projected from the base station or another external projector, whereby satellite units may use the other source's active illumination and thereby need not consume internal power to benefit from active illumination.

Abstract: A camera system comprises an image capturing device and an object classification module connected to the image capturing device. The object classification module is operable to determine whether or not an object in an image is a member of an object class. The object classification module includes multiple decision steps configured in a cascade configuration, wherein at least one of the multiple decision steps is operable to (a) accept an object as a member of the object class, (b) reject an object as a member of the object class, and (c) call on a next step to determine whether or not an object is a member of the object class.

Abstract: A method of encoding a continuous path within a road network is described, the path being completely represented within a digital map and expressible as a path list of lines and/or segments existing in said digital map and consecutively ordered, wherein said lines and/or segments have one or more attributes associated therewith. The method involves storing a start position in a route search list, and determining a path from the start node of the start position and including said start position to an end node of the last line or segment in the path list within said digital map. The path is determined according to an algorithm utilizing an attribute of said lines or segments. The attribute may be a lowest functional road class (LFRC) of the path to be encoded or a part thereof.

Abstract: A method for tracking a cinematography target that has been associated with an emitter can comprise receiving an indication to track a particular identifier. The particular identifier can be associated with an object of interest. The method can further comprise identifying, using at least one tracker component, a direction associated with the particular identifier. The method can also include calculating a motor actuation sequence necessary to actuate a control component to track the object of interest with an audiovisual device. The method can further comprise actuating at least one motor to track the object of interest.

Abstract: A system that incorporates teachings of the present disclosure may include, for example, a network device including a controller programmed to receive security video content associated with a premises where the security video content has been captured by one or more cameras located within or in proximity to the premises and where the premises have one or more digital video recorders, and transmit the security video content to the digital video recorders for forwarding to a communication device that is remote from the premises, where the security video content is wirelessly transmitted over a wireless television channel dynamically selected from available wireless television channels associated with the premises. Other embodiments are disclosed.

Abstract: An example disclosed method includes receiving an image containing shelf edge content displayed on a shelf edge; determining a location of the shelf edge content and an apparent orientation of the shelf edge content; determining, based on the location of the shelf edge content and the apparent orientation of the shelf edge content, a region in the image corresponding to the shelf edge; and providing an output based on the image that identifies the region in the image corresponding to the shelf edge.

Abstract: The invention relates to a method and a device for recognizing a road sign (Hz, Zz) by means of a camera from a traveling vehicle. The method has the following steps: acquiring at least one image of the surroundings of a vehicle by means of the camera, determining the presence of at least one road sign (Hz, Zz) in the at least one acquired image of the surroundings of the vehicle, determining (also estimating) motion blur in that image segment in which the present road sign (Hz, Zz) is situated, subtracting out motion blur in this image segment, which results in a sharpened image segment, and recognizing the road sign (Hz, Zz) while taking account of the sharpened image segment.

Abstract: A device and method for providing a visual cue for improved text imaging on a mobile device. The method includes determining a minimum text size for accurate optical character recognition (OCR) of an image captured by the mobile device, receiving an image stream of a printed substrate, and displaying the image stream and a visual cue superimposed onto the image stream, wherein the visual cue is indicative of the minimum text size. The method further includes capturing a digital image of the image stream, wherein the digital image does not include the visual cue. Additionally, the method further includes notifying a user of the mobile device when text displayed within the image stream is at least as large as the minimum text size.

Abstract: A method for generating a sequence of support instruction steps by leveraging Augmented Reality (AR) can include: capturing workspace data from a workspace using a sensing device, wherein workspace may include a plurality of components, with at least one of the plurality of components having at least a tag; identifying both a first tag of a first component of the plurality of components, and a second tag of a second component of the plurality of components; determining, based on respective shapes of the first and second tags, that the first and second components are operably related; determining, again based on the first and second tags, a first operation; generating a first overlay, wherein the first overlay includes at least one image corresponding with the first operation; and generating a first augmented reality display of a first instruction step by combining the first overlay with a display of the workspace data.

Abstract: Features are disclosed for classifying pixels included in a digital image. Distance information from a pixel to structural reference points, such as skeletal joints, is generated. The distance information is then applied to a pixel classifier to identify one or more classifications for the pixel.

Abstract: An edge detection method includes reading at least a portion of wide-band pixel signals generated by wide-band pixels of an image sensor. The image sensor also includes narrow-band pixels that generate narrow-band pixel signals that remain unread. The method also includes sending the wide-band pixel signals to an image signal processor, forming a partially-filled reference image based on data from the wide-band pixel signals; and applying an edge-forming technique to the partially-filled reference image to produce an edge map. An edge detection system includes a two-dimensional array of pixels having wide-band pixels and narrow-band pixels, an image signal processor for producing an edge map from a partially-filled reference image, and a readout circuit for generating the partially-filled reference image for the image signal processor. The partially-filled reference is based only on at least part of the wide-band pixels.

Abstract: An object of the present invention is to reduce a size of a feature descriptor while maintaining accuracy of object identification.

Abstract: A method for selecting an image of an appliance with a suitable position or orientation of a door of the appliance is provided. The method includes obtaining a digital RGB image from a camera of the appliance and converting the digital RGB image to a device independent color space in order to generate at least one of a first chromatic primary plane image or a second chromatic primary plane image from the digital RGB image. The method also includes comparing the first or second chromatic primary plane images to a reference image.

Abstract: Identifying whether an image includes a search image can be accomplished using region analysis and/or parts model analysis. Region analysis can include dividing a received image into regions and analyzing each region by: enlarging the region, applying a gradient histogram transformation to the enlarged region, and comparing the transformed region, at various angles, to a set of search patterns. Parts model analysis can include identifying key features of an image such as prominent lines or areas, objects or object edges, consecutive colors; generating one or more parts models from the key features by representing the key features as geometric objects; and comparing each parts model, at various angles, to a set of search patterns. The comparison employed in region analysis or parts model analysis can employ classifiers trained on the search images.

Abstract: Image description and image recognizable method, it contain (a) It obtain an image which possess plural pixels. (b) It determines a starting position in the image. (c) In the image, From the starting point along the trajectory of the former spiral aggregation makes a pixel sampling, and the pixel on the trajectory rank to the former spiral aggregation. (d) the angle increases with the increase of the variance, it forming a the angle of the latter spiral aggregation. From the starting point along a trajectory of the former spiral aggregation makes the pixel sample, and the pixel on the trajectory rank to the former spiral aggregation. (e) It decides how many frequencies the angle variation increase, and repeatedly performs the step (d). After obtaining a plurality of the latter spiral aggregation, the pixel corresponds to the value. (f) It ranks the former spiral aggregation and the latter spiral aggregation. Then, spiral aggregation map will be formed and recorded the every value of the pixel.

Abstract: An object detection method includes for each of a set of patches of an image, encoding features of the patch with a non-linear mapping function, and computing per-patch statistics based on the encoded features for approximating a window-level non-linear operation by a patch-level operation. Then, windows are extracted from the image, each window comprising a sub-set of the set of patches. Each of the windows is scored based on the computed patch statistics of the respective sub-set of patches. Objects, if any, can then be detected in the image, based on the window scores. The method and system allow the non-linear operations to be performed only at the patch level, reducing the computation time of the method, since there are generally many more windows than patches, while not impacting performance unduly, as compared to a system which performs non-linear operations at the window level.

Abstract: In the present disclosure, a client feature and a pre-stored template image feature are obtained; the obtained client feature and template image feature are projected according to a preset projection matrix, to generate a projection feature pair, where the projection matrix is formed by training of a first template image feature of a same object and a second template image feature of a different object; and similarity calculation is performed on the projection feature pair according to a preset similarity calculation rule, to generate a similarity result and prompt the similarity result to a client.

Abstract: A feature selection apparatus, which selects features to be used to discriminate an object by a discriminator using learning data including the object, extracts a plurality of partial data from the learning data, and obtains discrimination values obtained by controlling the discriminator to process the plurality of extracted partial data as features of the plurality of partial data. The feature selection apparatus evaluates the obtained features based on discrimination degrees on a discrimination space defined by the discriminator, and selects features to be used to discriminate the object from a plurality of features obtained in association with the plurality of partial data based on an evaluation result.

Abstract: In an embodiment, a method comprises obtaining a frequency domain representation associated with an image; obtaining one or more frequency domain representations of one or more object detection filters; generating a composite frequency domain representation based on the frequency domain representation associated with the image and the one or more frequency domain representations of the one or more object detection filters; and detecting one or more objects in the image based on the composite frequency domain representation. The frequency domain representation associated with the image may be obtained based on a forward transform performed on an image feature description. The image feature description may be obtained based on a feature extraction performed on the image. The one or more frequency domain representations of the one or more object detection filters may be obtained based on one or more Fourier transforms performed on the one or more object detection filters.

Abstract: Techniques related to object detection using binary coded images are discussed. Such techniques may include performing object detection based on multiple spatial correlation mappings between a generated binary coded image and a binary coded image based object detection model and nesting look up tables such that binary coded representations are grouped and such groups are associated with confidence values for performing object detection.

Abstract: The present invention relates to a convolutional-neural-network-based classifier, a classifying method by using a convolutional-neural-network-based classifier and a method for training the convolutional-neural-network-based classifier. The convolutional-neural-network-based classifier comprises: a plurality of feature map layers, at least one feature map in at least one of the plurality of feature map layers being divided into a plurality of regions; and a plurality of convolutional templates corresponding to the plurality of regions respectively, each of the convolutional templates being used for obtaining a response value of a neuron in the corresponding region.

Abstract: An image forming apparatus includes a control unit that generates a valid region signal corresponding to the length of a paper sheet of a regular size in the conveyance direction thereof, and performs control to form an image on the paper sheet based on the valid region signal, wherein, when an image is formed on a long paper sheet having a longer length than the paper sheet of the regular size, the control unit generates the valid region signal in each channel, performs control for generating the next valid region signal in a period during which the valid region signal is not generated in any of the channels, generates a continuous valid region signal corresponding to the long paper sheet by combining the valid region signals in the channels, and performs control to form an image by reading out image data based on the continuous valid region signal.

Abstract: The present invention relates to a set of security documents. Each security document within the set having an optical code, notably a barcode, which is neither connected nor coupled to any electronic chip that may be carried by the security document. The optical code on each security document within the set encodes the same information for the same optical reader. Each security document having different respective electromagnetic signature, these signatures being unique to each of the security documents.

Abstract: Systems and methods for the automated generation of QR codes with embedded images therein are provided. The QR code has an active, machine-readable portion and a background portion. An example system comprises an image identification module to identify a human-readable image. A primitive creation module generates a primitive QR code. The primitive QR code comprises a machine-readable QR code having the image embedded in the QR code. An overlay interface module generates an intermediate QR code by modifying the active portion of the QR code using a first modification and modifying the background portion using a second modification.

Abstract: Techniques for making electronic cards that can be displayed on a mobile phone. The techniques permit making an electronic card based on an arbitrary SMS message and making an electronic card (eCard) that corresponds to a pre-existing non-electronic privilege card such as a loyalty card. In the latter case, the system on which the card is being made obtains information about the user and the issuer and uses the information to determine whether to issue the eCard and also to make use validity information which is associated with the card and is used to determine the validity of the card as it is used.

Abstract: An assembly of a card and a card reader, the card reader comprising a reading head configured to be positioned over a predetermined curve of the card while sensing the electromagnetic field and to output a signal relating to the field sensed, the card comprising an oblong field generator comprising at least two end portions configured to output at least part of the electromagnetic field, wherein the end portions are at least 1.8 mm wide and positioned so that, when projected on to a plane of the surface, an edge of each end portion is positioned no more than 0.5 mm from the curve and/or the curve not overlap the end portions in the projection. The curve is defined by the path of the reading head over the card. The card has a generator displaced in relation to standard cards where the generator is positioned directly under the curve.

Abstract: A magnetic stripe data transmission (MST) driver and a method for driving the MST are disclosed. The MST driver is configured to transmit magnetic strip data comprising of streams of pulses. The MST driver comprises a pair of high side switches and a pair of low side switches. The pair of high side switches comprises a first switch and a second switch. The pair of low side switches comprises a third switch and a fourth switch. The first, second, third and fourth switches are arranged in a full bridge type configuration connected across a voltage source and a ground. An inductive coil is connected across outputs of the full bridge type configuration of the switches. The MST driver includes a switch driver configured to drive the pair of low side switches and the pair of high side switches under current slope control using pulse width modulation.

Abstract: An electrical asset for distributing power for use with a Radio Frequency Identification (“RFID”) tracking system and middleware. The electrical asset includes at least one electrical component defining an external surface and at least one radially extending portion or axially extending portion. An RFID transponder is overmolded with the at least one electrical component and embedded within the at least one radially extending portion or axially extending portion and below the exterior surface of the at least one electrical component. The transponder is configured to transmit a first signal to a transmitting and receiving device and receive a second signal from the transmitting and receiving device.

Abstract: An adapter and methods of using the adapter for communicating a personal electronic device to a smart card reader are disclosed. The adapter comprises a processor, a contact/contactless smartcard chip, an antenna and a power supply unit. The processor is adapted to exchange data with the personal electronic device, wherein that data is modulated on the audio signals. The processor is also adapted to exchange data with the smartcard chip, wherein the smartcard chip is adapted to communicate with the contactless smart card reader via the antenna. A method for enabling a personal electronic device to communicate with a contactless smart card reader via audio signals is also disclosed. The method comprises providing an adapter. The adapter comprises a processor, a contact/contactless smartcard chip, an antenna and a power supply unit. The method also comprises exchanging data between the personal electronic device and the processor.

Abstract: A wireless device security system for preventing the unauthorized reading of wireless devices by a reader. The wireless device security system generally includes a device holder that is adapted to receive a wireless device for storage, access and removal. The device holder includes an interference tag that interferes with the wireless communications between the wireless device and a reader when the wireless device is positioned at least partially within the device holder. The device holder preferably includes a layer of shielding material adjacent to or near the wireless device during storage to further prevent unauthorized wireless communications with a reader.

Abstract: A payment card (e.g., credit and/or debit card) or other card or device (e.g., mobile telephone) is provided with a magnetic emulator operable to communicate data to a magnetic stripe read-head. User interfaces are provided in a number of different configurations in order to achieve a number of different functionalities.

Abstract: An RFID device using a printed electronic circuit (PEC) is disclosed. The PEC or electronic circuit which includes printed elements is coupled to a conductor structure, such as an antenna, by reactive means, such as an electric field, a magnetic field, or a combination of both. The RFID device comprises a base layer and a conductive layer (antenna structure) disposed over the base layer. A dielectric layer is then disposed over at least a portion of the conductive layer. A barrier layer is then disposed over the dielectric layer and fully covers the PEC to protect against oxygen and moisture ingress. Further, the PEC is typically attached to a carrier or strap to facilitate coupling between the antenna structure and PEC. In another embodiment, the barrier layer can be replaced with an adhesive layer that acts as both the barrier layer and the dielectric layer.

Abstract: An optically variable security element, for security papers, value documents and other data carriers, includes a single or multilayer central body having opposing first and second main surfaces, an arrangement of microlenses on the first main surface of the central body, the microlenses having a refractive effect defining a focal plane, a laser-sensitive recording layer arranged on the second main surface of the central body, a mask layer arranged between the arrangement of microlenses and the laser-sensitive recording layer and outside of the focal plane of the microlenses, and a plurality of micromarks produced in the laser-sensitive recording layer by the action of laser radiation, each micromark being associated with a microlens and being visible when the security element is viewed through the associated microlens. The mask layer comprises a macroscopic gap region that is in register with the plurality of micromarks.

Abstract: An RFID tag for location inside a tubular base portion of a freestanding cryogenic vial, the RFID tag comprising: an RFID chip; an antenna connected to the chip; a support medium configured to support the chip and connected antenna; and a plug at least partially surrounding the chip, the antenna and the support medium, the plug being shaped to engage the tubular base portion of the vial. The RFID tag may be used to retrofit vials already stored at cryogenic temperatures.

Abstract: An antenna module includes an antenna element including coil patterns and via conductors coupling together two adjacent two coil patterns. At least one of the coil patterns has a spiral shape, is wound three or more turns parallel or substantially parallel to an outer edge of a principal surface of a multilayer body, includes a first partial pattern including an outer end portion, a second partial pattern extending parallel or substantially parallel with the first partial pattern and being adjacent to the first partial pattern with a first gap provided therebetween, and a third partial pattern extending parallel or substantially parallel with the second partial pattern and being adjacent to the second partial pattern with a second gap provided therebetween, the second gap being smaller than the first gap.

Abstract: RFID devices comprising (i) a transponder chip module (TCM, 1410) having an RFIC chip (IC) and a module antenna (MA), and (ii) a coupling frame (CF) having an electrical discontinuity comprising a slit (S) or non-conductive stripe (NCS). The coupling frame may be disposed closely adjacent the transponder chip module so that the slit overlaps the module antenna. The RFID device may be a payment object such as a jewelry item having a metal component modified with a slit (S) to function as a coupling frame. The coupling frame may be moved (such as rotated) to position the slit to selectively overlap the module antennas (MA) of one or more transponder chip modules (TCM-1, TCM-2) disposed in the payment object, thereby selectively enhancing (including enabling) contactless communication between a given transponder chip module in the payment object and another RFID device such as an external contactless reader. The coupling frame may be tubular. A card body construction for a metal smart card is disclosed.

Abstract: Described herein are novel biological converter switches that utilize modular components, such as genetic toggle switches and single invertase memory modules (SIMMs), for converting analog inputs to digital outputs, and digital inputs to analog outputs, in cells and cellular systems. Flexibility in these biological converter switches is provided by combining individual modular components, i.e., SIMMs and genetic toggle switches, together. These biological converter switches can be combined in a variety of network topologies to create circuits that act, for example, as switchboards, and regulate the production of an output product(s) based on the combination and nature of input signals received.