Abstract: Disclosed are a pedestrian detection method of a vehicle and a pedestrian detection system thereof. The pedestrian detection method includes transmitting and receiving a radar signal to and from an object in front of a vehicle to sense the object; capturing an exterior image of the vehicle; calculating a distance between the vehicle and the sensed object, detecting the sensed object in the captured image, and setting a region of interest (ROI) including the sensed object; and detecting a pedestrian in the ROI.

Abstract: A digital imaging system and method for searching for expressions that appear on a microform medium, the system having a computer including a processor and an input device, and a digital microform imaging apparatus having an area sensor generating a digital microform image of the microform medium. The computer is configured to receive a search expression from the input device, create an expression template representing a shape of the search expression, and search the digital microform image for instances of the expression template.

Abstract: Methods, systems, and storage media are disclosed herein for determining objects in image data that match a plurality of captured images, in which one or more of the captured images from among the plurality of captured images may depict only a portion of an object. A computing device may extract a first feature from at least one block of the plurality of blocks from a captured image; determine a second feature; and determine a third 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. The computing device may similarly determine a matching image for each of the captured images of the plurality of images; and determine a final matching image from among the candidate matching images that best matches the combination of the plurality of captured images.

Abstract: Methods for aerial image processing and object identification using an electronic computing device are presented, the methods including: causing the electronic computing device to build a deep learning model; receiving actual aerial image data; applying the deep learning model to the actual aerial image data to identify areas of interest; post-processing the areas of interest; and returning a number of classified objects corresponding with the areas of interest to a user. In some embodiments, methods further include: applying global positioning system (GPS) mapping to the number of classified objects with respect to the actual aerial image data.

Abstract: A visual positioning apparatus, method, and non-transitory computer readable storage medium thereof are provided. The visual positioning apparatus derives an image by sensing a visual code marker in a space and performs the following operations: (a) identifying an identified marker image included in the image, (b) searching out the corner positions of the identified marker image, (c) deciding a marker structure of the identified marker image according to the corner positions, wherein the marker structure includes vertices, (d) selecting a portion of the vertices as first feature points, (e) searching out a second feature point for each first feature point, (f) updating the vertices of the marker structure according to the second feature points, (g) selecting a portion of the updated vertices as the third feature points, and (h) calculating the position of the visual positioning apparatus according to the third feature points.

Abstract: Provided are a method and system for providing augmented reality content using a user-edited image. The method of providing AR using a user-edited image includes adding a frame including a plurality of markers to an image captured by a camera unit or an already captured image by executing an application installed on the terminal, requesting a printing apparatus to print the image to which the frame has been added, obtaining an image by photographing the printed matter printed by the printing apparatus by executing the application, identifying a marker in the obtained image and requesting an AR object and AR object attribute data corresponding to the marker from an AR content providing server, and displaying the AR object received from the AR content providing server.

Abstract: An image processing method for a picture of a participant, photographed in an event, such as a marathon race, increases the accuracy of recognition of a race bib number by performing image processing on a detected race bib area, and associates the recognized race bib number with a person in the picture. This image processing method detects a person from an input image, estimates an area in which a race bib exists based on a face position of the detected person, detects an area including a race bib number from the estimated area, performs image processing on the detected area to thereby perform character recognition of the race bib number from an image subjected to the image processing, and associates, when the race bib number is unclear, an object and the race bib number with each other by comparing images between a plurality of input images.

Abstract: A method for performing cooperative counting and an associated apparatus are provided, where the method is applicable to a counter system, and the counter system includes a plurality of cameras. The method includes: setting a plurality of points on an electronic map as a plurality of predetermined points according to user inputs; determining at least one rule related to the predetermined points according to rule information, where the rule information is stored in the counter system; respectively performing video object detection upon a plurality of images captured by the cameras to generate detection results respectively corresponding to the cameras; and merging the detection results respectively corresponding to the cameras, to count events complying with the at least one rule.

Abstract: The disclosure describes a sensor system that provides end users with intelligent sensing capabilities, and embodies both crowd sourcing and machine learning together. Further, a sporadic crowd assessment is used to ensure continued sensor accuracy when the system is relying on machine learning analysis. This sensor approach requires minimal and non-permanent sensor installation by utilizing any device with a camera as a sensor host, and provides human-centered and actionable sensor output.

Abstract: A method and system for tracking objects in a defined area compares image data of a detected object to profiles of persons that have entered the defined area to find the best match and connect the profile of the best match to the detected object. Identification profiles of persons that have been identified, by presenting their credentials, when entering the defined area are registered as candidates and are later matched with objects detected in the defined area. The system and method use the physical access control system of the defined area to reduce the number of candidates for the detected objects to the most likely candidates. The processing time and need for resources of the object tracking in the defined area are thereby reduced.

Abstract: Aspects determining anomalous events, wherein processors determine a trajectory of tracked movement of an object through an image field of a camera partitioned into a matrix grid of different local units. The aspects generate anomaly confidence decision values for image features extracted from video data of the tracked movement of the object as a function of fitting extracted image features to normal patterns of local motion pattern models defined by dominant distributions of extracted image features. The aspects further extract trajectory features from the video data relative to the trajectory of the tracked movement of the object, and generate global anomaly confidence decision values for the object trajectory as a function of fitting the extracted trajectory features to a normal learned motion trajectory model. The aspects determine anomalous events as a function of the generated global anomaly confidence decision value and the anomaly confidence decision values.

Abstract: A location specifying apparatus comprises a first circuit and a second circuit. The first circuit is configured to store information regarding a predetermined feature including location information of the predetermined feature, information regarding a position of a specific point on a road, and information indicating a correlation of the information regarding the predetermined feature to the information regarding the position of the specific point on the road. The second circuit is configured to obtain image data ahead of a moving body; to identify a location of the predetermined feature in an image expressed by the image data, based on the information regarding the position of the specific point on the road, the information indicating the correlation, and the information regarding the predetermined feature; and to specify the location of the moving body, based on the identified location of the predetermined feature.

Abstract: A method for estimating time to collision (TTC) of a detected object in a computer vision system is provided that includes determining a three dimensional (3D) position of a camera in the computer vision system, determining a 3D position of the detected object based on a 2D position of the detected object in an image captured by the camera and an estimated ground plane corresponding to the image, computing a relative 3D position of the camera, a velocity of the relative 3D position, and an acceleration of the relative 3D position based on the 3D position of the camera and the 3D position of the detected object, wherein the relative 3D position of the camera is relative to the 3D position of the detected object, and computing the TTC of the detected object based on the relative 3D position, the velocity, and the acceleration.

Abstract: A road marking recognition device recognizes a road marking from an image acquired by imaging a road surface of a road on which a vehicle is traveling. The road marking recognition device includes: a storage unit configured to store a plurality of templates each of which corresponds to a corresponding one of plurality of feature portions of a road marking as a recognition target and between which a relative positional relationship is known; and a recognition unit configured to detect a second feature portion corresponding to a second template among the plurality of templates when the first feature portion is detected from the image.

Abstract: According to another aspect of the inventive concept, there is provided a method of authenticating a user using a plurality of biometric information, the method comprising, receiving an input for setting a security level, receiving first biometric information and second biometric information of a user, and comparing at least one of the first biometric information and the second biometric information which corresponds to the security level with pre-registered reference biometric information and accepting to authenticate the user when a similarity score between the at least one of the first biometric information and the second biometric information and the pre-registered reference biometric information is equal to or greater than a preset reference value.

Abstract: An information processing apparatus for processing an image includes circuitry unit and a communication interface. The circuitry acquires identification information to identify a set of one or more objects to be imaged by an imaging device according to a predetermined imaging sequence. The communication interface transmits at least one image of the set of one or more objects that is captured by the imaging device in association with the identification information, to a management device.

Abstract: Methods for detecting digital or physical tampering of an imaged physical credential include the actions of: receiving a digital image representing a physical credential having one or more high value regions, the digital image including an array of pixels; processing the digital image with a tamper detector to generate an output corresponding to an intrinsic characteristic of the digital image, the tamper detector configured to perform a pixel-level analysis of the high value regions of the digital image with respect to a predetermined tampering signature; and determining, based on the output from the tamper detector, whether the digital image has been digitally tampered with.

Abstract: Implementations generally relate to producing a still image from a video or series of continuous frames. In some implementations, a method includes receiving the frames that a capture device shot while moving in at least two dimensions. The method further includes analyzing the frames to determine changes of positions of objects in at least two of the frames due to movement of the objects in the scene relative to changes of positions of objects due to the movement of the capture device during the shoot time. The method further includes determining, based at least in part on the variability of the objects, one or more target subjects which the capture device captures during the shoot time. One or more still images are generated from the plurality of frames having at least a portion of the target subject.

Abstract: A self-correction recognition method and device for a valuable document recognition device is provided. The method includes: extracting a feature of a valuable document; determining whether the feature falls in a discriminant library of any preset category, and obtaining a substitutive centroid according to a feature centroid and the feature in a case that the feature falls in a discriminant library of any preset category; and updating the discriminant library of the category by replacing the feature centroid of the category with the substitutive centroid. The discriminant library is pre-constructed according to the feature centroid of the category, and the feature centroid is calculated from a feature of the category.

Abstract: A single-instruction, multiple data processor performs object detection in an image by testing for a plurality of object features in a plurality of image regions, the processor comprising: a set of computation units operable to execute a plurality of classifier sequences in parallel, each classifier sequence comprising a plurality of classifier routines, and each classifier routine comprising identical instructions to the other classifier routines in each of the plurality of classifier sequences; wherein each computation unit is configured to independently maintain data identifying an image region and a feature under test on that computation unit, and each classifier routine is arranged to access the data, test the identified feature against the identified image region and update the data such that the computation units are operable to concurrently test different features against different image regions.

Abstract: A method and system (10) for mitigating fuel theft relating to refueling or recharging a vehicle by capturing an image of a unique vehicle identification marker (14), such as a an alphanumeric vehicle registration plate, comparing one or more features of the image with a record containing features from a number of images of previously captured unique vehicle identification markers, and providing an alert if the features of the unique vehicle identification marker match features of at least one of the number of unique vehicle identification markers in the record. A request (26) for payment for fuel can be required before fuel delivery is enabled or a debt payment request can be provided if fuel has been delivered but not paid for within a period of time.

Abstract: A camera system with dual embedded optical character recognition (OCR) engines. The camera system includes a camera module for capturing an image of a vehicle, the image including a license plate with a license plate number containing characters; a first OCR engine that produces a first read and first confidence level by extracting the characters from the license plate; and a second OCR engine, different from the first OCR engine, that produces a second read and second confidence level extracting the characters from the license plate. The camera system further includes a comparator for comparing the first read to the second read. If the first read and the second read match, the system produces the matching read as a final read. If the first read and the second read do not match, a fusion module produces a final read using the first read, the first confidence level, the second read, and the second confidence level.

Abstract: Embodiments of the invention provide a method of visual saliency estimation comprising receiving an input video of image frames. Each image frame has one or more channels, and each channel has one or more pixels. The method further comprises, for each channel of each image frame, generating corresponding neural spiking data based on a pixel intensity of each pixel of the channel, generating a corresponding multi-scale data structure based on the corresponding neural spiking data, and extracting a corresponding map of features from the corresponding multi-scale data structure. The multi-scale data structure comprises one or more data layers, wherein each data layer represents a spike representation of pixel intensities of a channel at a corresponding scale. The method further comprises encoding each map of features extracted as neural spikes.

Abstract: Techniques are provided in which a plurality of edges are detected within a digital image. An anchor point located along an edge of the plurality of edges is selected. An analysis grid associated with the anchor point is generated, the analysis grid including a plurality of cells. An anchor point normal vector comprising a normal vector of the edge at the anchor point is calculated. Edge pixel normal vectors comprising normal vectors of the edge at locations along the edge within the cells of the analysis grid are calculated. A histogram of similarity is generated for each of one or more cells of the analysis grid, each histogram of similarity being based on a similarity measure between each of the edge pixel normal vectors within a cell and the anchor point normal vector, and a descriptor is generated for the analysis grid based on the histograms of similarity.

Abstract: An approach is provided that captures a digital image of an object that has a number of facets. The approach further determines the actual sizes of various facets found on the object. The actual sizes of the facets are used to identify compatible objects based, with the compatible objects being objects that can work with the object.

Abstract: Provided are method and apparatuses related to material recognition and training. A training apparatus for material recognition generates training data associated with a material by generating a texture image having a texture attribute from an object image and recognizing material information from the texture image using a material model.

Abstract: Method, device, and storage medium for generating a GIF file. The method for generating a GIF file includes: obtaining an image set including a plurality of images; selecting at least two images from the image set, content of each of the at least two images satisfying a preset similarity condition, and a difference between photographing times of any two of the at least two images not exceeding a preset time threshold; and generating a GIF file according to the at least two images.

Abstract: An approach is provided in which a system analyzes a first subject in a first image taken at a first point in time against a second subject in a second image taken at a second point in time. The first image and the second image are captured at a venue. The system determines, based on a time duration between the first point in time and the second point, a probability that the first subject is at the venue at the second point in time. Next, the system computes, based on the probability, a relevance score that quantifies a relationship between the first subject in the first image and the second subject in the second image. Finally, the system assigns the second image to a first image file corresponding to the first image based on the relevance score reaching a relevance score threshold.

Abstract: An image processing system involves a camera, at least one processor associated with the camera, non-transitory storage, a lexical database of terms and image classification software. The image processing system uses the image classification software to assign hyponyms and associated probabilities to an image and then builds a subset hierarchical tree of hypernyms from the lexical database of terms. The processor then scores the hypernyms and identifies at least one hypernym for the image that has a score that is calculated to have a value that is greater than one of: a pre-specified threshold score, or all other calculated level scores within the subset hierarchical tree. The associated methods are also disclosed.

Abstract: Provided is an object detection device or the like which efficiently generates good-quality training data. This object detection device is provided with: a detection unit which uses a dictionary to detect objects from an input image; a reception unit which displays, on a display device, the input image accompanied by a display emphasizing partial areas of detected objects, and receives, from one operation of an input device, a selection of a partial area and an input of the class of the selected partial area; a generation unit which generates training data from the image of the selected partial area and the inputted class; and a learning unit which uses the training data to learn the dictionary.

Abstract: An image processing device for evaluating a classifier which recognizes a target object within an input image and classifies the target object into one among a plurality of classes, includes: a classification unit which obtains a classification performance of the classifier by using the classifier and classifying the target object included in each of a plurality of verification images in which a class of the target object is known, and outputting one among the plurality of classes for each of the verification images; and an evaluation unit which outputs an evaluation result of the classifier based on the classification performance of the classifier obtained with the classification unit.

Abstract: Methods, systems, and computer programs are presented for adding new features to a network service. A method includes receiving an image depicting an object of interest. A category set is determined for the object of interest and an image signature is generated for the image. Using the category set and the image signature, the method identifies a set of publications within a publication database and assigns a rank to each publication. The method causes presentation of the ranked list of publications at a computing device from which the image was received.

Abstract: A decision tree and normalized reclassification are used to classify defects. Defect review sampling and normalization can be used for accurate Pareto ranking and defect source analysis. A defect review system, such as a broadband plasma tool, and a controller can be used to bin defects using the decision tree based on defect attributes and design attributes. Class codes are assigned to at least some of the defects in each bin. Normalized reclassification assigns a class code to any unclassified defects in a bin. Additional decision trees can be used if any bin has more than one class code after normalized reclassification.

Abstract: The present disclosure provides an image scanning system and an image scanning method. The image scanning method includes: receiving a first image of a first optical device and a second image of a second optical device; determining objects of the first image or the second image; selecting at least one of the objects of the first image or the second image as a region of interest to scan the region of interest continuously by the second optical device so as to obtain depth image information of the region of interest; and integrating the depth image information into the first or second image. Therefore, the present disclosure obtains higher image resolutions, faster scanning speeds and more accurate recognition results.

Abstract: Raster image processing computer devices buffer pages of print-ready bitmaps waiting to be printed by a printing engine. A computer device monitors the printing speed of the printing engine and estimates the processing time for the raster image processing computer devices to produce the print-ready bitmaps, based on the complexity of the pages of the print job. The computer device compares the printing speed to the processing time to predict whether the number of pages of the print-ready bitmaps buffered by the raster image processing computer devices will increase or decrease. The computer device places one or more of the raster image processing computer devices in a reduced-power sleep mode when the number of pages of the print-ready bitmaps buffered is between a buffer minimum and a buffer maximum, and is predicted to not decrease.

Abstract: An image forming apparatus includes: a first information processing unit that performs information processing for image formation on obtained image data by an image processing specific program; and a second information processing unit that performs information processing for image formation on the image data by a general-purpose processing program also performing processing other than image processing when a value related to the information processing by the first information processing unit satisfies a predetermined condition.

Abstract: A method for managing privacy of information on a shipping label associated with a shipment is provided. The method includes receiving information associated with the shipment, generating at least two decryption keys associated with at least two pieces of information from the information, generating encrypted messages by encrypting the at least two pieces of information based on the at least two decryption keys including a first and second encrypted message encrypted based on a first and second decryption key, respectively, generating a machine-readable code including the encrypted messages, generating a shipping label including machine-readable code, and providing the first and second decryption keys based on a first and second status of the shipment, respectively.

Abstract: An electronic device according to one embodiment of the present disclosure may include a memory, a coil, a waveform-generating circuit, and a processor, and the processor is configured to: obtain card information stored in the memory; when a first part of the card information is a first value, apply, using the waveform-generating circuit, a first voltage or a first current having a first waveform having a first frequency to the coil, wherein a first tangential slope of a first amplitude of the first waveform for time changes in at least a part of a first interval corresponding to the first part; and when a second part of the card information is a second value, apply, using the waveform-generating circuit, a second voltage or a second current having current second waveform having a second frequency to the coil, wherein the second frequency is twice the first frequency, and a second tangential slope of a second amplitude of the second waveform for time changes in at least a part of a second interval correspondi

Abstract: A method of detecting a stimulus can include detecting an output from a radio frequency identification tag including a sensor. A smartphone-based sensing strategy can use chemiresponsive nanomaterials integrated into the circuitry of commercial Near Field Communication tags to achieve non-line-of-sight, portable, and inexpensive detection and discrimination of gas phase chemicals (e.g., ammonia, hydrogen peroxide, cyclohexanone, and water) at part-per-thousand and part-per-million concentrations.

Abstract: Devices and methods of disrupting data transfer between an RFID interrogation device (50, 50?) and an RFID data storage device (30, 30?) to be protected, are provided. An example of an embodiment of an RFID signal disruptor device includes a container (41, 141) and an RFID signal disruptor circuit (151, 161, 161?, 171, 171?, 271, 271?) configured to substantially disrupt the signal provided by the RFID interrogation device (50, 50?) when the RFID signal disruptor device is positioned to protect the RFID data storage device (30, 30?).

Abstract: The utility model discloses a vehicle RFID tag comprising a first glue layer, IR/UV protective layers, an INLAY layer, a second glue layer and a print layer, and the first glue layer, the INLAY layer, the second glue layer and the print layer are sequentially arranged in a stacked mode; the INLAY layer comprises a fragile layer, an RFID antenna layer and an RFID chip, and the fragile layer, the RFID antenna layer and the RFID chip are sequentially arranged in a stacked mode; the areas of the IR/UV protective layers are larger than the area of the RFID chip, and the viscosity of the first glue layer is larger than that of the second glue layer. The utility model has the beneficial effects that the anti-dismantling function is achieved, and the RFID chip can be protected against damage caused by ultraviolet rays and infrared rays.

Abstract: In accordance with an embodiment, an IC chip for a recording agent cartridge comprises a contact interface, a non-contact interface, a memory and a switching section. The contact interface communicates with a first external device in a wired manner. The non-contact interface communicates with a second external device in a wireless manner. The memory stores identification information. The switching section switches between a first mode capable of accessing the memory via wired communication and a second mode capable of accessing the memory via wireless communication. The switching section switches between the first mode and the second mode depending on whether access information is acquired via the contact interface or the non-contact interface.

Abstract: An antenna device includes a coil antenna including a coil conductor wound around a winding axis, and a planar conductor. The coil antenna includes a first region in which the coil conductor overlaps the planar conductor in a plan view of the planar conductor (when viewed from the Z-direction) and a second region in which the coil conductor does not overlap the planar conductor in the plan view of the planar conductor. The line width of the coil conductor in the first region is wider than the line width of a portion (portion extending in the X-direction) of the coil conductor in the second region. Accordingly, an inductance per unit length in the circumferential direction of the coil conductor in the first region is lower than the inductance per unit length in the circumferential direction of the coil conductor in the second region.

Abstract: A method may include obtaining a particular object. The method may also include affixing a tag to the particular object. The tag may include a first object identification and a second object identification. The second object identification may be different from the first object identification. The method may further include creating a record of the particular object in a database. The method may also include binding the first object identification and the second object identification to the record of the particular object in the database. The method may further include updating the record in the database based on a first identification of the particular object using the first object identification. The method may also include updating the record in the database based on a second identification of the particular object using the second object identification.

Abstract: A method for serializing products using a barcode and checking authenticity of barcodes. A printing modification introduces an authentication feature into the barcode. Print batch data comprising a batch of serial codes and an individual security rationale for modifying the barcode is provided. A modified barcode is printed using a single serial code out of the range of sequential serial numbers and the assigned individual security rationale to provide the barcode with an authentication feature. To check authenticity of a barcode, an image of the modified barcode is processed and submitted to a central database. Content of the modified barcode is read to decode the serial number. The serial number is used to identify a print batch and individual security rationale. If reconstructed properties of the modified barcode and corresponding original properties of the modified barcode stored in the central database are identical, the barcode is considered an original barcode.

Abstract: The loua(MSR) or CyberMind-Program is a Virtual-Network composed of the following modules: 1) Language-Truing-Engine—Processors—Cyber-Do-Loop-Deloop-Motors that produce the true-positive-dimensional-perspective of life's languages by using a cyber-matrix of coded words and numbers of data-truths within a realm of trusted-terms, which produce the true-perspective of the Mystic, the Metaphysic, and the Physical-Symbols of language-law. 2) Word-Truthing-Systems composed of data-stores of words and numbers used to run the trust-proofing-machine-procedure, which provides Expert Witness when applied in a Network of Conscious-Knowledge, Meaning and Understanding. 3) Term-Trust-Machine-Procedures—create perfect-communication-identities for the network-domain of this process, which establishes the true perspective of the language-symbols that occur within the universe of terms.

Abstract: In various example embodiments, a system and method for applying a quantitative range for qualitative terms. In one example, a method includes gathering user interactions, identifying a qualitative term included in the user interactions, building an electronic knowledge graph that associates the qualitative term with a quantitative range for the product identified using the qualitative term according to values in the user interactions that include the qualitative term, receiving a query for the product that includes the qualitative term, and performing, in response to receiving the query, a search that limits results according to the quantitative range stored in the knowledge graph.

Abstract: Core utilization optimization by dividing computational blocks across neurosynaptic cores is provided. In some embodiments, a neural network description describing a neural network is read. The neural network comprises a plurality of functional units on a plurality of cores. A functional unit is selected from the plurality of functional units. The functional unit is divided into a plurality of subunits. The plurality of subunits are connected to the neural network in place of the functional unit. The plurality of functional units and the plurality of subunits are reallocated between the plurality of cores. One or more unused cores are removed from the plurality of cores. An optimized neural network description is written based on the reallocation.

Abstract: Systems, apparatuses and methods may provide a hybrid compression scheme to store synaptic weights in neuromorphic cores. The hybrid compression scheme utilizes a run-length encoding (RLE) compression approach, a dictionary-based encode compression scheme, and a compressionless encoding scheme to store the weights for valid synaptic connections in a synaptic weight memory.

Abstract: An example embodiment may involve a machine learning model representing relationships between a dependent variable and a plurality of n independent variables. The dependent variable may be a function of the n independent variables, where the n independent variables are measurable characteristics of computing devices, and where the dependent variable is a predicted behavior of the computing devices. The embodiment may also involve obtaining a target value of the dependent variable, and separating the n independent variables into n?1 independent variables with fixed values and a particular independent variable with an unfixed value. The embodiment may also involve performing a partial inversion of the function to produce a value of the particular independent variable such that, when the function is applied to the value of the particular independent variable and the n?1 independent variables with fixed values, the dependent variable is within a pre-defined range of the target value.