Abstract: Various aspects of a method and system to process video content for extraction of moving objects from image sequences of the video content are disclosed herein. In an embodiment, the method includes determination of one or more object contours of one or more moving objects in the video content. A first object bounding box (OBB) that encompasses a first object contour of a first moving object is created based on the determined one or more object contours. A first object mask for the first moving object is generated in a first destination image frame, based on infilling of the first object contour in the created first OBB.

Abstract: A system for advanced vector editing, comprising a vector analysis server that analyzes vector information, a routing calculation server that calculates routes from the vector information, and a rendering engine that produces visualizations from the routing information, and several methods for advanced vector editing in two- and three-dimensional visualizations.

Abstract: A positioning method for unmanned aerial vehicle is disclosed. A first photo and a second photo of a predetermined form are first obtained, a first color card image of a color card is recognized from the first photo, and a second color card image of the same color card is recognized from the second photo, wherein the predetermined form includes a number of color cards. A first geometric center point coordinate and a first barycentric point coordinate of the first color card image are calculated. A reference line on the color card is obtained by mapping the first geometric center point coordinate and the first barycentric point coordinate to the color card, and a rotation angle of the UAV based on the reference line is obtained. A positioning method to get the flight speed for the UAV and a positioning device is also disclosed.

Abstract: A method for controlling a robot cleaner configured to project light of a predetermined pattern to a floor of an area in front thereof in a specific direction and to acquire an image of the area to which the light is projected, according to the present disclosure, includes: (a) acquiring a front view image of the robot cleaner; (b) detecting the pattern from the image acquired in (a); and (c) discriminating a pattern formed by reflected light from a pattern formed by light directly projected from the robot cleaner, from among patterns indicated in the acquired image, on the basis of geometrical characteristics defined by a projection direction of the light and the direction of an optical axis in which the image is acquired when two or more patterns are detected from the image.

Abstract: Techniques for collecting and presenting information using a wearable device involve receiving criteria information data that specifies one or more criteria for providing information to a user of a wearable device; receiving information indicative of a field of view of the user of the wearable device; detecting that an object in the field of view is associated with one or more attributes that satisfy the user-specified criteria; responsive to detection, executing a rule associated with one or more attributes that satisfy the user-specified criteria; and based on execution of the rule, causing an informational depiction to be presented via a display of the wearable device that visually eliminates or enhances the detected object in the field of view of the user.

Abstract: An image processing apparatus includes an image acquisition unit, an image recognition unit, a character information acquisition unit, and a communication unit. The image acquisition unit acquires an image. The image recognition unit recognizes image characteristic information acquired by the image acquisition unit. The character information acquisition unit acquires character information from the characteristic information recognized by the image recognition unit. The communication unit communicates the character information acquired by the character information acquisition unit to a guide information retrieval device that retrieves guide information from the character information.

Abstract: Systems and techniques are provided for tracking puts and takes of inventory items by subjects in an area of real space. A plurality of cameras with overlapping fields of view produce respective sequences of images of corresponding fields of view in the real space. A processing system is coupled to the system. In one embodiment, the processing system comprises image recognition engines receiving corresponding sequences of images from the plurality of cameras. The image recognition engines process the images in the corresponding sequences to identify subjects represented in the images and generate classifications of the identified subjects. The system processes the classifications of identified subjects for sets of images in the sequences of images to detect takes and puts of inventory items on shelves by identified subjects.

Abstract: Techniques and devices for post-processing time-lapse videos are described. The techniques include obtaining an input time-lapse sequence of frames and determining a visual metric value, e.g., average luminance, for each frame. A curve of best fit may then be determined for the visual metric values of the frames. The visual metric values, e.g., the average luminance values, of the plurality of frames may then be adjusted, e.g., by adjusting the visual metric values of each frame to be equal to the corresponding value determined by the curve of best fit. Some embodiments include further adjusting the visual metric values to be equal to a weighted average of the adjusted visual metric values for adjacent frames in the time-lapse sequence. Finally, a visual characteristic of the frames, e.g., an image histogram, may be adjusted based on the frame's determined adjusted visual metric value, and an output time-lapse sequence may be generated.

Abstract: Systems and methods for visitor detection using security and/or automation systems include detecting an event at a doorway, capturing an image at the doorway associated with the event, capturing a video at the doorway associated with the event, delivering the image with a notice of the event to a recipient for viewing, and automatically uploading the video for viewing upon capturing the video. The video is available for selective viewing by the recipient upon being uploaded.

Abstract: Disclosed and described herein is a system and a method for thermal detection of static and moving objects.

Abstract: The present invention provides a crowd monitoring system with which it is possible to obtain a crowd density accurately, irrespective of the congestion state. This crowd monitoring system 100 is provided with: an image acquiring unit 101 which acquires a plurality of images; an arithmetic logic unit 108; and a storage unit 106 which stores information relating to relationships between image feature quantities and an object density, acquired in advance, and information relating to relationships between motion feature quantities and the object density. The arithmetic logic unit 108 comprises: an image feature quantity acquiring unit 103 which obtains image feature quantities of objects in the acquired images; a motion line acquiring unit 104 which obtains motion lines of the objects in the acquired images; a motion feature quantity acquiring unit 105 which obtains motion feature quantities of the objects on the basis of the obtained motion lines; and a crowd density acquiring unit 107.

Abstract: Disclosed are methods and apparatuses for object recognition using an artificial neural network. An object recognition apparatus includes an adjacent pixel setter configured to set the neighboring pixel pairs in the image frame, each neighboring pixel pair including first pixel and one or more second pixels adjacent to the first pixel, a labeler configured to label the first pixel using deep neural network-based model based on probability density function value of the neighboring pixel pairs, and an object recognizer configured to recognize an object based on the labeled first pixel.

Abstract: Even if a problem has occurred with respect to a multimedia micro-computer that generates a composite image including guiding lines, while a gearshift of a vehicle is in reverse, a reset process is not performed for the multimedia micro-computer. The reset process is performed after the gearshift is determined to have moved from reverse.

Abstract: Provided is a road surface undulation estimation device and a road surface undulation estimation method capable of estimating an undulation of a road surface on which a vehicle travels, being configured to: detect regularly appearing objects from a vehicle periphery image captured by a camera; calculate detection positions of the respective regularly appearing objects by using camera installation information to transform positions of the respective regularly appearing objects in the vehicle periphery image into positions in a real space; calculate detection intervals between neighboring detection positions out of the respective detection positions; and estimate, from the respective detection positions, the calculated detection intervals, and an installation interval of the regularly appearing objects, inclinations of the actual road surface with respect to a road surface obtained through the transformation calculation from the vehicle periphery image to the real space.

Abstract: A method, an apparatus and a device for detecting lane boundaries are provided. The method includes: obtaining a current image of a lane, and extracting brightness jump points in the image by filtering the image; filtering out noise points from the brightness jump points, and determining remaining brightness jump points as edge points to form groups of the edge points, where a connection line of edge points in the same group forms one edge line; recognizing edge lines of the lane boundaries from edge lines; and grouping the edge lines of the lane boundaries, and recognizing edge lines in each group as edge lines of one lane boundary. Based on the method, a calculation for detecting the lane boundaries is simpler, and calculation resources and time consumed in detecting the lane boundaries are reduced to detect the lane boundaries accurately and quickly.

Abstract: A method for driver identification including recording a first image of a vehicle driver; extracting a set of values for a set of facial features of the vehicle driver from the first image; determining a filtering parameter; selecting a cluster of driver identifiers from a set of clusters, based on the filtering parameter; computing a probability that the set of values is associated with each driver identifier of the cluster; determining, at the vehicle sensor system, driving characterization data for the driving session; and in response to the computed probability exceeding a first threshold probability: determining that the new set of values corresponds to one driver identifier within the selected cluster, and associating the driving characterization data with the one driver identifier.

Abstract: Methods, systems, and computer program products for authenticating an online user. Authentication involves sending a code from a server to a user device equipped with a source of illumination and a camera capable of capturing video imagery of the online user. The user device receives the code, modulates the source of illumination in accordance with the code, and captures video imagery of the user while the source of illumination is being modulated according to the code. The captured video imagery of the online user is sent to the server where it is analyzed to detect evidence of changes in illumination that correspond to the code. If good correspondence is found, the user may be authenticated. Similar methods may be applied to other biometric data. Applications of the authentication include identify validation, pseudonym verification, and distinguishing human from non human access attempts.

Abstract: A system and methodologies for neuromorphic vision simulate conventional analog NM system functionality and generate digital NM image data that facilitate improved object detection, classification, and tracking.

Abstract: The present disclosure relates to a gaze based error recognition detection system that is intended to predict intention of the user to correct user drawn sketch misrecognitions through a multimodal computer based intelligent user interface. The present disclosure more particularly relates to a gaze based error recognition system comprising at least one computer, an eye tracker to capture natural eye gaze behavior during sketch based interaction, an interaction surface and a sketch based interface providing interpretation of user drawn sketches.

Abstract: Systems and methods use a digital microform imaging apparatus for sensing an image mark on the microform containing the image of a document.

Abstract: An apparatus includes an object detector configured to receive image data of a scene viewed from the apparatus and including an object. The image data is associated with multiple scale space representations of the scene. The object detector is configured to detect the object responsive to location data and a first scale space representation of the multiple scale space representations.

Abstract: A method of performing character isolation in an optical character recognition process, the method comprising receiving image data representing one or more character columns, determining a number of black pixels in each column of the image data, defining a vertical separation threshold which is a maximum number of black pixels in a column, dividing the columns into different pixel groups and groups of excluded columns by excluding any columns with a number of black pixels below the vertical separation threshold, identifying the pixel group representing the left most character column in the image data, determining whether there are one or two pixel groups representing character columns in the image data and, if it is determined that there are two pixel groups representing character columns, using a predetermined width value for a right most character column in order to identify a right hand boundary of the right most character column.

Abstract: A method of generating synthetic data from time series data, such as from handwritten characters, words, sentences, mathematics, and sketches that are drawn with a stylus on an interactive display or with a finger on a touch device. This computationally efficient method is able to generate realistic variations of a given sample. In a handwriting or sketch recognition context, synthetic data is generated from real data in order to train recognizers and thus improve recognition accuracy when only a limited number of samples are available. Similarly, synthetic data can also be used to test and validate such recognizers. Also discussed is a dynamic time warping based approach for both segmented and continuous data that is designed to be a robust, go-to method for gesture recognition across a variety of modalities using only limited training samples.

Abstract: Various arrangements for tracking a target within a series of images is presented. The target may be detected within a first image at least partially based on a correspondence between the target and a stored reference template. A tracking template may be created for tracking the target using the first image. The target may be located within a second image using the tracking template.

Abstract: Image data may be downloaded or otherwise obtained. An application executing on the computing device (or at least in communication with the computing device) can analyze the image data to recognize objects represented in the image data as well as determine locations or regions of the image that include the representations. Candidate regions of interest (e.g., bounding boxes) that include at least one detected object can be generated. A single region—a representative region—can be determined from the candidate regions based on user and/or application-defined criterion. The criteria may help ensure that the representative region includes statistical properties that at least satisfy threshold property levels, such as being a consistent estimator of the candidate regions. Notions of “average” or “median” regions can be applied to generate the representative region.

Abstract: A method for reconstructing a Computer Tomography (CT) image is disclosed. The method may comprise: obtaining a X-ray projection data frame and a dynamic sensor information data frame, wherein the X-ray projection data frame may include a first timestamp indicating acquisition time of X-ray projection data and the dynamic sensor information data frame may include a second timestamp indicating acquisition time of dynamic sensor information data; extracting the first timestamp from the X-ray projection data frame and extracting the second timestamp from the dynamic sensor information data frame; searching X-ray projection data and dynamic sensor information data which may be acquired in same sampling period according to a first timestamp and a second timestamp; and reconstructing a CT image according to the searched X-ray projection data and dynamic sensor information data which may be acquired in the same sampling period.

Abstract: A system and method for enabling graphic-based interoperability with a run-time application is configured to, during a design-time (DT) mode: receive a DT application image; identify DT visual objects within the DT application image; generate DT bounding shape objects in which each DT bounding shape object bounds one or more DT visual objects identified within the DT application image; define bounding shape properties for the DT bounding shape objects; and store as a scene, data relating to the DT application image, the DT visual objects, the DT bounding shape objects, and the bounding shape properties, for later recall; and during a run-time (RT) mode: recall the scene stored during the DT mode; capture a RT application image; identify RT visual objects within the RT application image based on the scene; generate RT bounding shape objects, and apply the bounding shape properties to the generated RT bounding shape objects.

Abstract: Embodiments of the present invention provide automated systems and methods for visualizing a product using standard and personal objects. An image can be retrieved from the shopping history or shopping cart of a user, and the dimensions of the image can be automatically adjusted to make an accurate relative size comparison to a product for purchase.

Abstract: Methods, systems, and storage media are described for detecting objects in image data are provided. In embodiments, a computing device may generate a plurality of blocks from a captured image. Each block may represent a corresponding region of the captured image. The computing device may extract a first feature from at least one block of the plurality of blocks; determine a second feature based at least on the first feature; and determine a third feature based on the second feature. The computing device may determine, as a matching image, a stored image from among a plurality of stored images including an object that has greatest maximum correlation with the third feature. Other embodiments may be described and/or claimed.

Abstract: The image signature extraction device includes an image signature generation unit and an encoding unit. The image signature generation unit extracts region features from respective sub-regions in an image in accordance with a plurality of pairs of sub-regions in the image, the pairs of sub-regions including at least one pair of sub-regions in which both a combination of shapes of two sub-regions of the pair and a relative position between the two sub-regions of the pair differ from those of at least one of other pairs of sub-regions, and based on the extracted region features of the respective sub-regions, generates an image signature to be used for identifying the image. The encoding unit encodes the image signature.

Abstract: Aspects of the disclosure include a method for indicating a location of a first object by a wearable device. The method includes determining the first object; and, when a preset condition is satisfied, locating the first object and highlighting the first object on a display.

Abstract: In various example embodiments, a system and method for determining an item that has confirmed characteristics are described herein. An image that depicts an object is received from a client device. Structured data that corresponds to characteristics of one or more items are retrieved. A set of characteristics is determined, the set of characteristics being predicted to match with the object. An interface that includes a request for confirmation of the set of characteristics is generated. The interface is displayed on the client device. Confirmation that at least one characteristic from the set of characteristics matches with the object depicted in the image is received from the client device.

Abstract: Disclosed are a quantum system-based image pattern recognition computation apparatus and method for machine vision and a quantum system-based machine vision apparatus. The computation apparatus recognizes patterns between images in machine vision by using a quantum system. The computation apparatus includes a modeling unit and an interpretation unit. The modeling unit sets up an objective function based on the similarity between a first pattern derived from the relationships between points of interests of a first image and a second pattern derived from the relationships between points of interests of a second image. The interpretation unit finds an optimum first pattern and an optimum second pattern, in which the similarity between the first pattern and the second pattern is optimized, by interpreting a final quantum state obtained through an adiabatic evolution process of the quantum system in which the objective function is optimized.

Abstract: In one embodiment, a computing device receives an image. A large hash value is generated for the image based on a content-aware hashing function, resulting in the large hash value having a first number of dimensions. A small hash value is calculated for the image based on the large hash value and a locality-sensitive hashing function. The small hash value has a reduced number of dimensions compared to the large hash value. The small hash values for two or more images, respectively, will be close to each other if the two or more images are similar in content, and the small hash values will be different if the images are not similar. The small hash value for the image is used to determine whether the image is similar to one or more other images.

Abstract: Aspects of the subject disclosure may include, for example, a method for determining a first set of features in first images of first media content, generating a similarity score by processing the first set of features with a favorability model derived by identifying generative features and discriminative features of second media content that is favored by a viewer, and providing the similarity score to a network for predicting a response by the viewer to the first media content. Other embodiments are disclosed.

Abstract: The invention relates to a computer-implemented method for classifying events present in a sample, wherein each event is characterized by a multidimensional set of parameters obtained by means of hardware and/or software, wherein the values of the parameters associated with each event define the position coordinates of said event in a multidimensional space. Said method comprises the following stages: a) clustering the events in groups, b) checking if within each formed group there is a connection between events exceeding a maximum distance threshold, c) calculating the affinity between each pair of previously generated sample groups, d) comparing each sample group with at least one reference group stored in at least one database, e) classifying the sample groups based on the comparisons with the reference groups.

Abstract: A method for training a system for reconstructing a magnetic resonance image includes: under-sampling image data from each of a plurality of fully-sampled images; and inputting the under-sampled image data to a multi-scale neural network comprising sequentially connected layers. Each layer has an input for receiving input image data and an output for outputting reconstructed image data. Each layer performs a process comprising: decomposing the array of input image data; applying a thresholding function to the decomposed image data, to form a shrunk data, the thresholding function outputting a value asymptotically approaching one when the thresholding function receives an input having a magnitude greater than a first value, reconstructing the shrunk data for combining with a reconstructed image data output by another one of the layers to form updated reconstructed image data, and machine-learning at least one parameter of the decomposing, the thresholding function, or the reconstructing.

Abstract: The invention refers to a method for text recognition, wherein the method is executed by a processor of a computing device and comprises steps of providing a confidence matrix, wherein the confidence matrix is a digital representation of an input sequence, entering a regular expression, searching for a symbol sequence of the input sequence that matches the regular expression, wherein a score value is computed by the processor using confidence values of the confidence matrix, wherein the score value is an indication of the quality of the matching between the symbol sequence of the input sequence and the regular expression. Further, the invention relates to a computer program product which when executed by a processor of a computing device performs the method.

Abstract: To provide a technology capable of having another object related to one object easily recognized after detection of the one object, there is provided an information processing apparatus including a detection unit configured to detect a predetermined detection object, a data obtaining unit configured to obtain instruction information ordering that a predetermined imaging object according to the detection object fall within an imaging range of an imaging unit, and a display control unit configured to cause a display unit to display the instruction information.

Abstract: The present invention provides a card which may be issued smoothly. The member card 2 comprises the base material layer 21 having the light transmittable base material and the printing layer 22, and wherein the first information 2201 to be confirmed from the first surface 21a of the base material layer 21 and the second information 2202 to be confirmed from the second surface 21b of the base material layer 21 are only printed on one surface of the base material layer 21. In the base material layer 21, the region which is printed with the second information 2202 is light transmittable region, and the second information 2202 may be visually recognized from the second surface 21b of the base material layer 21.

Abstract: An image forming apparatus includes an image forming unit configured to perform a printing process of forming an image on a print medium based on print data, and a processor. The processor is configured to determine whether or not the printing process has completed based on remaining print data to be printed, when the print medium is removed from a paper discharge tray in which the print medium on which the image is formed by the image forming unit is placed, and to cause a warning to be output upon determining that the printing process has not completed based on the remaining print data to be printed.

Abstract: An image forming apparatus to form image layers on a first recording medium and a second recording medium, and including a reception unit that receives a print job, a conveyance unit, an image forming unit, a re-conveyance unit, and a discharge unit. The conveyance unit sequentially conveys recording media to a recording position used to form an image layer on a recording medium. Each time a recording medium is conveyed to the recording position, the image forming unit forms one image layer on the conveyed recording medium based on the print job. The re-conveyance unit re-conveys the same recording media to the recording position. The second recording medium is conveyed to the recording position prior to the first recording medium unless the second recording medium and the first recording media are to receive the same number of image layers. Then, the first recording medium is conveyed to the recording position.

Abstract: A bitmap processing system for creating digital documents on a digital printing press by a fulfiller includes a fulfiller operated raster image processor that receives customer application Page Description Language (PDL) job files containing information for creating the digital documents and generates bitmaps in accordance with the files and a fulfiller operated editor that modifies the bitmaps so that the resulting documents process more efficiently in production steps downstream of a printing process.

Abstract: An image forming apparatus includes: an image processor configured to perform first image processing on image data having a first resolution and to add tag data to a target pixel where second image processing is to be performed; a resolution converter configured to convert the image data into image data having a second resolution higher than the first resolution, and to perform the second image processing based on arrangement of the image data having the first resolution and the tag data; a pulse generator configured to generate an on-off modulation signal and an application-current switching signal in accordance with the image data having undergone the second image processing; and a light source driver configured to drive the light source in accordance with a current setting value output from an application current setter depending on the application-current switching signal and the on-off modulation signal.

Abstract: An information processing apparatus includes a memory that stores, for each one of a plurality of paper types, paper profile information that includes multiple paper attribute information each defining an attribute of paper and stores preferentially displayed paper attribute information in association with at least one configuration, the preferentially displayed paper attribute information indicating paper attribute information to be displayed preferentially compared to other paper attribute information of the multiple paper attribute information and circuitry that obtains preferentially displayed paper attribute information corresponding to paper to be printed in the at least one configuration, and control a display to display preferentially displayed paper attribute information.

Abstract: Two dimensional barcode (4) for placement on a portion of a neck (3) of a bottle (1), comprising a top edge (10a), a bottom edge (10b), a left edge (10c) a right edge (10d), and code elements (8) arranged along horizontal lines extending between the left edge and the right edge, wherein the horizontal lines of code elements and the top and bottom edges are curved such that the top edge has a convex shape and the bottom edge a concave shape.

Abstract: Technology for generating, reading, and using machine-readable codes is disclosed. There is a method, performed by an image capture device, for reading and using the codes. The method includes obtaining an image, identifying an area in the image having a machine-readable code. The method also includes, within the image area, finding a predefined start marker defining a start point and a predefined stop marker defining a stop point, an axis being defined there between. A plurality of axis points can be defined along the axis. For each axis point, a first distance within the image area to a mark is determined. The distance can be measured from the axis point in a first direction which is orthogonal to the axis. The first distances can be converted to a binary code using Gray code such that each first distance encodes at least one bit of data in the code.

Abstract: A transaction card may comprise a first card component having an electrically conductive surface configured to receive an electrically applied coating. An electrically applied coating may be formed on the electrically conductive surface. The transaction card may be manufactured by forming a first card component having an electrically conductive surface configured to receive an electrically applied coating. The method may also include applying an electrically applied coating to the electrically conductive surface.

Abstract: A substrate for contactless transaction card, which is equipped with an integrated chip (IC) connected to at least one organic light-emitting diode (OLED) and an inductively powered tag.

Abstract: A holder for a product package includes a substrate having an inside surface, with opposing end portions of the substrate being folded upwards. The holder also includes a securing member disposed on at least one of the end portions, the securing member configured to secure the product package within the end portions of the substrate. The holder also includes a RFID tag disposed on the substrate.