Abstract: A pose-aware feature learning system includes an object tracker which tracks an object on a subject in a plurality of video frames, a pose estimator which estimates a pose of the subject in a track of the plurality of video frames, an image pair generator which extracts a plurality of image pairs from the track of the plurality of video frames, and labels the plurality of image pairs with the estimated pose and as depicting the same or different object, and a neural network trainer which trains a neural network based on the labeled plurality of image pairs, to predict whether an image pair depicts the same or different object and a pose difference for the image pair.

Abstract: For automatically adjusting camera settings responsive to photographic subject matter, an apparatus is disclosed. The apparatus includes an image sensor, a processor, an image module that receives sensor input of photographic subject matter, a subject matter module that identifies a nature of the photographic subject matter, and a configuration module that alters a camera setting, in response to determining the nature of the photographic subject matter. In some embodiments, the apparatus also includes an image center module that identifies a central region of the sensor input, wherein the subject matter module performs, on the central region of the sensor input, one or more analyzes selected from the group consisting of: optical character recognition, facial recognition, color distribution analysis, and light level analysis.

Abstract: An apparatus converts written marks on a writing surface into a digital form. According to one embodiment, the apparatus includes a writing portion configured to create a physical mark on a surface and a recording portion configured to capture the physical mark. The apparatus further includes a processor configured to process the physical mark and generate a digital mark from the physical mark, a memory for storing the digital mark, and a transmitter to transmit a digital image of the captured mark to an external device.

Abstract: Cutout object merge techniques are described. In one or more embodiments, a cutout object is identified for insertion into a scene. The cutout object may, for instance, be selected from a library of cutout objects, each of which was extracted from an already-captured image. Before capturing an image of the scene, the selected cutout object may be placed in a substantially real-time display of the scene, such as that which is displayed via a camera's view finder. Using an image capturing device, an image of the scene may then be captured. Once an image of the scene is captured, the cutout object and the captured image may be merged to form a composite image that includes the cutout object at a location in the scene specified by the placement.

Abstract: The present disclosure is related to a photo album based music selection method, apparatus and device, and a storage medium. When a certain photo album is viewed on a device, the corresponding music can be automatically selected and played based on a character relationship determined according to the method between the viewer and a person being viewed in a picture of the photo album, which decreases the complexity of operations of the user, and thereby improves the user experience.

Abstract: A computer-implemented method for selecting representative frames for videos is provided. The method includes receiving a video and identifying a set of features for each of the frames of the video. The features including frame-based features and semantic features. The semantic features identifying likelihoods of semantic concepts being present as content in the frames of the video. A set of video segments for the video is subsequently generated. Each video segment includes a chronological subset of frames from the video and each frame is associated with at least one of the semantic features. The method generates a score for each frame of the subset of frames for each video segment based at least on the semantic features, and selecting a representative frame for each video segment based on the scores of the frames in the video segment. The representative frame represents and summarizes the video segment.

Abstract: Disclosed herein are methods and systems for assigning pixels distance-cost values using a flood fill technique. One embodiment takes the form of a process that includes obtaining video data depicting a head of a user, obtaining depth data associated with the video data, and selecting seed pixels for a flood fill at least in part by using the depth information. The process also includes performing the flood fill from the selected seed pixels. The flood fill assigns respective distance-cost values to pixels of the video data based on position-space cost values and color-space cost values. In some embodiments, the process also includes classifying pixels of the video data as foreground based at least in part on the assigned distance-cost values. In some other embodiments, the process also includes assigning pixels of the video data foreground-likelihood values based at least in part on the assigned distance-cost values.

Abstract: Systems and method of generating video summaries are presented herein. Information defining a video may be obtained. The video may include a set of frame images. Parameter values for parameters of individual frame images of the video may be determined. Interest weights for the frame images may be determined. An interest curve for the video that characterizes the video by interest weights as a function of progress through the set of frame images may be generated. One or more curve attributes of the interest curve may be identified and one or more interest curve values of the interest curve that correspond to individual curve attributes may be determined. Interest curve values of the interest curve may be compared to threshold curve values. A subset of frame images of the video to include within a video summary of the video may be identified based on the comparison.

Abstract: An image processing apparatus includes an object detection unit configured to detect an object from an image, a tracking unit configured to track the detected object, a trajectory management unit configured to manage a trajectory of the object being tracked, and a specific object detection unit configured to detect a specific object from the image. In a case where the specific object determination unit detects the object being tracked by the object tracking unit to be the specific object, the trajectory management unit manages a trajectory of the object being tracked at a time point before the time point the object being tracked is detected to be the specific object as the trajectory of the specific object.

Abstract: The subject of the invention is a method for detecting and classifying events of a scene by means of a single-pupil imaging system equipped with a VisNIR detector in the 0.6 ?m-1.

Abstract: An in-vehicle image processing device processes camera images to determine a parkable area and includes an overhead image generation section generating an overhead image relative to a road surface by converting the view point of an image of a nearby vehicle and the road surface taken by a vehicle-mounted camera; a tire recognition section recognizing the tires of the nearby vehicle; a three-dimensional object recognition section recognizing three-dimensional objects including the nearby vehicle; an area-under-vehicle recognition section calculating the ground contact position of the tire and the above-ground height from the ground contact position to the vehicle body and recognizing an area under the vehicle body on the road surface from the overhead image; and a parkable area recognition section for recognizing the area occupied by the vehicle body and the area under the vehicle body as a non-parking area and recognizing a parkable area on the road surface.

Abstract: According to an embodiment, an information presenting apparatus to be mounted in a vehicle includes hardware circuitry. The hardware circuitry is configured to acquire driving information including a speed and a steering angle of the vehicle. The hardware circuitry is configured to calculate, based on the driving information, an own vehicle region indicating a region in which the vehicle moves. The hardware circuitry is configured to acquire target object position information indicating a position of a target object present in surroundings of the vehicle. The hardware circuitry is configured to generate a pair of target object information and presentation information when the position of the target object is included in the own vehicle region. The target object information identifies the target object present at the position of the target object. The presentation information indicates information that encourages the target object to perform a certain action.

Abstract: A method and a system for traffic light detection are provided. The method may include: obtaining a color image; calculating pixel response values for pixels of the color image, respectively, where each of the pixel response values may be calculated using R, G, and B values of a corresponding pixel directly, such that pixel response values of red traffic light pixels are substantially distributed on a first side of a predetermined range and pixel response values of green traffic light pixels are substantially distributed on a second side of the predetermined range which is opposite to the first side; identifying pixels whose pixel response values are distributed on the first side or the second side as candidate pixels; identifying candidate blobs based on the candidate pixels; and verifying whether the candidate blobs are traffic lights. Efficiency and reliability may be improved.

Abstract: Systems and methods for detecting a subject in a vehicle are provided. A temperature sensor installed in the vehicle is automatically activated when the vehicle ignition switch is switched off. The temperature sensor monitors the internal vehicle temperature and activates a detection module when the monitored internal vehicle temperature reaches a threshold temperature. The detection module includes a camera that is configured to capture a first image of the vehicle interior and to subsequently capture a second image of the vehicle interior, and a monitoring module that is configured to analyze the first image and the second image to detect the subject. A response module is coupled to the detection module and configured to activate one or more alert mechanisms when the subject is detected.

Abstract: Techniques are described for authenticating a user to access information through an application executing on a computing device. Multiple authentication methods may be used in combination to authenticate the user with greater confidence than authentication provided by a single method, and to verify that the user is a live person and not an image or video. Facial recognition may be used in conjunction with heartbeat detection, via video analysis, to verify the user's identity and confirm that the user is live. Facial recognition may include capturing an image of the user's face and comparing certain points on the face with previously gathered information regarding the user. Heartbeat detection may include capturing a video segment of the user, stabilizing the captured video data, applying motion magnification techniques to the stabilized video data, and analyzing the stabilized, magnified video data to determine a presence of the user's heartbeat.

Abstract: In real biometric systems, false match rates and false non-match rates of 0% do not exist. There is always some probability that a purported match is false, and that a genuine match is not identified. The performance of biometric systems is often expressed in part in terms of their false match rate and false non-match rate, with the equal error rate being when the two are equal. There is a tradeoff between the FMR and FNMR in biometric systems which can be adjusted by changing a matching threshold. This matching threshold can be automatically, dynamically and/or user adjusted so that a biometric system of interest can achieve a desired FMR and FNMR.

Abstract: A method of determining whether a biometric object is part of a live individual is described. In one such method, image information is acquired from the biometric object by using a sensor, such as an ultrasonic sensor. The image information may be analyzed in at least two analysis stages. One of the analysis stages may be a temporal analysis stage that analyzes changes in the image information obtained during a time period throughout which the biometric object was continuously available to the sensor. For example, a dead/alive stage may analyze differences between image information taken at two different times in order to identify changes from one time to the next. Other stages may focus on aspects of a particular image information set, rather than seeking to assess changes over time. These other stages seek to determine whether an image information set exhibits characteristics similar to those of a live biometric object.

Abstract: A compressor conduit layout system is disclosed which includes a handheld device operating in conjunction with a computer based application to obtain data of a conduit system and display a model of the system. The handheld device can include a range finder, a designator used to designate a point of interest so that the range finder can determine a distance between the point of interest and the handheld device, as well as a sensor(s) useful to determine an orientation of the handheld device. The computer based application can include a pallet-and-canvas type application which displays a computer model of the conduit system. The compressor conduit layout system can use or can alternatively include an indoor positioning system useful to determine the position of the handheld device.

Abstract: A vehicle number image pickup device includes an image pickup means for taking an image including identification information for identifying a vehicle in a predetermined frame period, an image division means for dividing each frame image obtained from the image pickup means into at least two images, a difference processing means for determining whether a different is present between frame images divided by the image division means, and an image output means for successively outputting the divided frame images for each frame when the different is determined to be present between the frame images by the difference processing means.

Abstract: A system and method for semantic segmentation using dense upsampling convolution (DUC) are disclosed. A particular embodiment includes: receiving an input image; producing a feature map from the input image; performing a convolution operation on the feature map and reshape the feature map to produce a label map; dividing the label map into equal subparts, which have the same height and width as the feature map; stacking the subparts of the label map to produce a whole label map; and applying a convolution operation directly between the feature map and the whole label map without inserting extra values in deconvolutional layers to produce a semantic label map.

Abstract: A gloss determination device includes: an image acquiring unit that acquires a parallelly polarized image obtained by photographing an object illuminated by first polarized light through a polarizing filter which passes a polarized component polarized in a same direction as a polarization direction of the first polarized light, and a perpendicularly polarized image obtained by photographing the object illuminated by second polarized light through a polarizing filter which passes a polarized component polarized in a perpendicular direction to the polarization direction of the second polarized light; a differential image producing unit that produces a differential image indicating differences in brightness between the parallelly polarized image and the perpendicularly polarized image; and a gloss determining unit that determines a gloss condition of the object based on the differential image.

Abstract: The invention relates to an image processing method for automatically extracting distorted circular image elements (109; 601) from an image (101), comprising the steps of determining, by means of a circle detection (102), at least one circular image section (103; 301, 301?) as a first approximation of at least one distorted circular image element (109; 601), then determining, via a statistical color analysis of the at least one determined circular image section (301, 301?), whether the circular image section (301, 301?) belongs to one of one or more predefined color classes and, in case thereof, assigning the circular image section to the respective color class, and, finally, determining an exact shape (109; 601) of the at least one distorted circular element by starting with at least one of the one or more determined circular image sections assigned to one of the one or more color classes and varying the image section to maximize a value of a color-class specific function of the image section.

Abstract: A method of monitoring a space for armed and dangerous individuals comprises obtaining a series of digital images of the space via a first digital camera; detecting a series of ambient noise levels of the space via an electronic noise detecting device; processing the series of images; processing the series of ambient noise levels; checking for an armed and dangerous individual; and triggering an alarm signal. Processing the series of images may include comparing objects in a first image of the series of images to at least one predetermined weapon patterns; and comparing objects in the first image of the series of images to at least one predetermined human patterns. Processing the series of ambient noise levels may include determining an upper threshold noise level based on the series of ambient noise levels; and comparing a first ambient noise level to the upper threshold noise level.

Abstract: An image processing system includes: a first identification unit that identifies a static area from an input image captured at each of a plurality of time points; an image generation unit that generates a first image by using the static areas of respective input images captured in a first time span from a processing time point and generates a second image by using the static areas of respective images captured in a second time span from the processing time point; and a second identification unit that compares the first image and the second image and identifies an area having a difference.

Abstract: Systems and methods for generating a crop yield estimate for an area as small as an individual field from images captured by a satellite are disclosed. The system generates simulations of crop yields in a region that includes the area by applying combinations of different parameters to a crop yield models. Observable quantities for simulated yields are determined from the simulations. The simulations and the observable properties are used to train a statistic model for the region that has two or more variables. Images captured by a satellite that include at least a portion of the area are obtained. Crop information is then determined from the images and weather information associated with the dates that the images where captured is obtained. The statistical model is then applied to the crop information and the weather information to determine a crop yield estimate.

Abstract: The techniques described herein may identify images that likely depict one or more items by comparing features of the items to features of different regions-of-interest (ROIs) of the images. When a user requests to identify images that depict a particular item, the techniques may determine a region-of-interest (ROI) size based on the size of the requested item. The techniques may then search multiple images using the ROI size.

Abstract: An electronic device includes one or more imaging cameras. After a reset of the device or other specified event, the electronic device identifies an estimate of the device's pose based on location data such as Global Positioning System (GPS) data, cellular tower triangulation data, wireless network address location data, and the like. The one or more imaging cameras may be used to capture imagery of the local environment of the electronic device, and this imagery is used to refine the estimated pose to identify a refined pose of the electronic device. The refined pose may be used to identify additional imagery information, such as environmental features, that can be used to enhance the location based functionality of the electronic device.

Abstract: A system performs operations including receiving multi-dimensional single-look data from a sensor, applying multi-dimensional complex weighting functions including apodizations from among a general class of such functions to the complex data, so as to induce nonlinear variations in the amplitude and phase of the multi-dimensional spectral image responses, forming a number of features per voxel across a number of multi-dimensional spectral image responses, and using a multi-dimensional non-parametric classifier to form features to discriminate main lobe from sidelobe imaged voxels with the weighting function applied to received data. The operations include identifying each voxel by processing a set of transforms from the multi-dimensional complex weighting functions and outputting a multi-dimensional main lobe binary image, representing main lobe versus sidelobe locations.

Abstract: A method and system of identifying in an image captured by a second camera a target object captured by a first camera is disclosed. The method comprises using image captured by the 1st camera for generating a first set of objects comprising the target object and other objects; classifying each object to generate a reference group of attribute values characterizing the objects; using image captured by the 2nd camera for generating second sets of objects; classifying each object in each second set to generate, for each second set, a corresponding group of attribute values characterizing the objects in the corresponding second set; selecting the second set of objects corresponding to the group of attribute values best matching the reference group of attribute values; and identifying the target object in the selected second set of objects in accordance with a position of the target object in the first set of objects.

Abstract: A noise removal method includes receiving in a de-noising system multiple noisy copies of a target image; providing the noisy copies as input data to the de-noising system in a training phase, and determine a noise distribution for the plurality of noisy copies. The method further includes, for n stages of the de-noising system, transforming the input data into an output; reconstructing the output; and providing the reconstructed output as input data. The method may further include receiving a new image and generating a de-noised image based on the determined noise distribution.

Abstract: A method of determining eye position information includes identifying an eye area in a facial image; verifying a two-dimensional (2D) feature in the eye area; and performing a determination operation including, determining a three-dimensional (3D) target model based on the 2D feature; and determining 3D position information based on the 3D target model.

Abstract: An electronic device comprising: a memory; a communication circuit; and at least one processor operatively coupled to the memory and the communication circuit, configured to: obtain a first image; extract a feature associated with an object depicted in the first image; and control the communication circuit to transmit an indication of the feature to a server; and receive analysis information associated with the object from the server through the communication circuit.

Abstract: A method and system for generating drawing orders are provided. The method involves receiving print data including data representing a plurality of drawing objects including at least a first drawing object and a second drawing object. The first drawing object and the second drawing object are each of one of predetermined object types and meet a predetermined condition. The method further involves (i) rendering the first drawing object to a first plurality of scanlines, (ii) rendering the second drawing object to a second plurality of scanlines, and (iii) generating, at the same time, a drawing order list for the first and second drawing objects based on the first and second plurality of scanlines.

Abstract: An image processing apparatus includes a converter, a reuse portion storage unit, and a reuse information output unit. The converter converts page description language (PDL) data into printable data. The converter stores a conversion result of converting an object appearing in the PDL data multiple times into printable data in a storage device and reuses the conversion result for the object which appears after the conversion result has been stored, instead of converting the object into printable data. The reuse portion storage unit stores information indicating a portion of a page image described by the PDL data for which the conversion result has been reused. The reuse information output unit outputs reuse information indicating a portion of the page image for which the conversion result has been reused, by using the information stored in the reuse portion storage unit.

Abstract: An apparatus includes multiple image processing units configured to execute image processing on input data, which are connected in serial, and include two or more image processing units having the same image processing function. The image processing units include a transfer unit configured to transfer input first data to a next image processing unit without changing the data, and an image processor configured to execute image processing on the first data to output second data. At least one of the image processing units transfers the first data to the next image processing unit without changing the first data when the first data is input, and also outputs the second data.

Abstract: A printer includes a receiver, an inserter, and a sort controller. The receiver receives print data. In response to detection of a change in a reception condition for receiving the print data by the receiver, the inserter inserts separator information between a print data portion received before the detection and a print data portion received after the detection, and thereby generates print data including the separator information inserted thereinto. In response to detection of the separator information from the print data including the separator information inserted thereinto that is sequentially input from the inserter, the sort controller performs control to sort a printout of a print data portion after the detected separator information from a printout of a print data portion before the detected separator information.

Abstract: An identity card, comprising a card body and a physical unclonable function arranged within the card body, wherein the physical unclonable function comprises a first light influencing layer and a second light influencing layer.

Abstract: A scannable code is used to facilitate copy and paste of content, wherein context information associated with the content is serialized and encoded directly into the scannable code. When the scannable code is decoded, the content is pasted into a desired location in a manner that is consistent with the context information.

Abstract: Advanced loyalty applications are provided to improve the functionality of cards and devices. For example, a user interface may be placed on a card (e.g., a physical button) or a telephonic device (e.g., a virtual button on a capacitive touch screen). Manual input provided to this user interface may, for example, cause a non-merchant product (e.g., insurance) to be purchased with a merchant purchase. The product can be paid for with debit, credit, gift card balance, or points. A code indicative of a user's desire to purchase the product may be communicated to a payment card reader (e.g., to a magnetic stripe reader via a magnetic stripe communications device). A display may be provided next to a button to allow a user to scroll, or toggle by pressing the button repeatedly, through different products (which may be merchant or non-merchant products).

Abstract: A subscriber identity module card for wireless devices, having a top surface, a bottom surface, a first cut-out space, a first material layer arranged on the bottom surface, a second memory card secured within said first cut-out space, said second memory card having said first material layer arranged on a bottom surface of said second memory card and having a second cut-out space, and a third memory card secured within said second cut-out space, said third memory card having a second material layer arranged on a bottom surface of said third memory card.

Abstract: An integrated circuit card (200) is described. The integrated circuit card comprises a card body (204, 306) and two components located in the card body (204), wherein a first component (214) of the two components includes an integrated circuit, and wherein the two components are in communication with a common electrical contact (208).

Abstract: The disclosed embodiments generally relate to transaction cards and methods for manufacturing transaction cards. The transaction card may include a first card component having a first surface and a first structural feature associated with the first surface. The transaction card may also include a second card component separate from the first card component and attachable thereto. The second card component may include a second surface and a second structural feature associated with the second surface. The first and second structural features may be configured to interconnect.

Abstract: A MOS RF surveillance and/or identification tag, and methods for its manufacture and use. The tag generally includes an interposer, an antenna and/or inductor on the interposer, and integrated circuitry on the interposer in a location other than the antenna and/or inductor. The integrated circuitry generally has a lowest layer in physical contact with the interposer surface. The method of manufacture generally includes forming a lowest layer of integrated circuitry on an interposer, forming successive layers of the integrated circuitry on the lowest layer of integrated circuitry, and attaching an electrically conductive functional layer to the interposer. Alternatively, an electrically conductive structure may be formed from a functional layer attached to the interposer.

Abstract: Methods and systems for feature extraction of LIDAR surface manifolds. LIDAR point data with respect to one or more LIDAR surface manifolds can be generated. An AHAH-based feature extraction operation can be automatically performed on the point data for compression and processing thereof. The results of the AHAH-based feature extraction operation can be output as a compressed binary label representative of the at least one surface manifold rather than the point data to afford a high-degree of compression for transmission or further processing thereof. Additionally, one or more voxels of a LIDAR point cloud composed of the point data can be scanned in order to recover the compressed binary label, which represents prototypical surface patches with respect to the LIDAR surface manifold(s).

Abstract: Embodiments of the invention relate to a neuromorphic network for producing spike-timing dependent plasticity. The neuromorphic network includes a plurality of electronic neurons and an interconnect circuit coupled for interconnecting the plurality of electronic neurons. The interconnect circuit includes plural synaptic devices for interconnecting the electronic neurons via axon paths, dendrite paths and membrane paths. Each synaptic device includes a variable state resistor and a transistor device with a gate terminal, a source terminal and a drain terminal, wherein the drain terminal is connected in series with a first terminal of the variable state resistor.

Abstract: An application recommending method includes acquiring a first behavior eigenvalue according to behavior data of a first user. It is determined that at least one second user from a user relationship chain of the first user according to the first behavior eigenvalue. The second user is on the user relationship chain of the first user. A degree of similarity between a second behavior eigenvalue and the first behavior eigenvalue is greater than a preset threshold, and the second behavior eigenvalue is a behavior eigenvalue of the second user. A to-be-recommended application for the first user on the basis of behavior data of the at least one second user is determined.

Abstract: This invention relates to a system, method and computer program product for determining which anytime technique is the most efficient at solving an anytime problem using a first anytime technique and a second anytime technique to determine a first and a second plurality of solutions, respectively, wherein each of the first and the second the plurality of solutions includes a value and an associated computation time, respectively, and each of the first and the second plurality solutions including a minimized value and associated computation time, respectively. Determining a set of delta value ordinates and computation time ordinates. Determining a representative value ordinate and representative computation time ordinate. Determining an efficient anytime technique.

Abstract: The disclosure provides a computer-implemented method of processing information to use when producing a mission plan to accomplish a mission. The example method includes obtaining one or more mission goals to be achieved during execution of the mission and obtaining information relating to one or more resources to be used during execution of the mission. The information relating to at least one of the resources includes uncertainty. The example method also includes obtaining user preferences relating to how the uncertainty is to be handled, transforming the information relating to the one or more resources according to the user preferences to reduce the uncertainty in the information and providing the transformed information to a smart process manager, for use by the smart process manager to identify one or more of the resources that are to be used to execute at least one mission step as part of at least one mission plan to achieve the one or more mission goals and accomplish the mission.

Abstract: A method for providing a visual summary of a plurality of answers associated with a question entered into a natural language question answer system by a user is provided. The method may include receiving the entered question. The method may also include analyzing the entered question to determine a plurality of possible answers to the entered question. The method may further include compiling a set of answers based on the analysis of the entered question and the determined plurality of possible answers. The method may additionally include providing a characterization summary for the compiled set of answers, whereby the characterization summary includes an indication of the quality associated with each answer within the compiled set of answers.

Abstract: Energy usage can be monitored within at least one building having a plurality of energy consuming components. A database can be generated that contains values for a set of data points corresponding to data received from the plurality of energy consuming components. A change in a configuration can be detected for the plurality of energy consuming components based upon a change in values received from plurality of energy consuming components relative to the database. Based upon the change, an additional data point can be added to the set of data points in the database. Based upon the values for the set of data points, a probability can be determined that a rule for the additional data point is valid. A message can then be generated that includes the determined probability.