Abstract: The present invention provides a method and an apparatus for detecting traffic video information. The method includes: acquiring a traffic video stream; determining color features of each frame of image in the traffic video stream; calculating the inter-frame distance between adjacent frames according to the color features; calculating the boundary of an image clustered frames' group according to the inter-frame distance by adopting an image clustering evaluation standard in RGB space and an image clustering evaluation standard in YUV space respectively; and determining a final boundary of the image clustered frames' group according to the boundaries of the image clustered frames' group in RGB space and YUV space. By using the present invention, the stability of detection results in different environments may be improved.

Abstract: An apparatus for determining a position of an object relative to a representation of an image to be represented includes a position pattern generator for generating a position pattern subdivided into a plurality of pattern portions, each of the pattern portions having an unambiguous bit pattern of a plurality of bit patterns, and the bit patterns being Gray-coded in a generalized manner; a combination unit for combining the position pattern with the at least one image to be represented and for providing a corresponding combined image; an optical sensor for optically sensing an image section of the combined image, being correlated with the object position; a filter for extracting at least one bit pattern corresponding to a pattern portion of the position pattern, from the image section and for providing at least one corresponding extracted pattern portion; and a determiner for determining the object position based on the extracted bit pattern.

Abstract: A method for tracking an object in an object tracking apparatus includes receiving an image frame of an image; and detecting a target, a depth analogous obstacle and an appearance analogous obstacle; tracking the target, the depth analogous obstacle and the appearance analogous obstacle; when the detected target overlaps the depth analogous obstacle, comparing the variation of tracking score of the target with that of the depth analogous obstacle. Further, the method includes continuously tracking the target when the variation of tracking score of the target is below that of the depth analogous obstacle and processing a next frame when the variation of tracking score of the target is above that of the depth analogous obstacle; and re-detecting the target.

Abstract: An image processing apparatus includes a detection unit which detects an object which is included in an image; and a determination unit which determines a positional relationship between a detected object and a protective barrier region in a depth direction of the image based on a feature amount relating to at least one of the detected object and the protective barrier region, when the detected object and the protective barrier region overlap with each other in the image.

Abstract: The people counting device includes an image acquisition unit to acquire an image from an imaging device, a head coordinate detection unit to detect a head coordinate of a target person from the image, a foot coordinate estimation unit to estimate a foot coordinate of the target person from the detected head coordinate, an individual region detection unit to perform region segmentation of the image and to give an attribute to each of regions, a foot coordinate correction unit to determine whether the target person overlaps another person based on the given attribute and to correct the foot coordinate of the target person estimated by the foot coordinate estimation unit when the persons are determined to overlap each other, a foot coordinate region inside/outside determination unit to determine whether the foot coordinate exists in a detection region set in the image, and a people counting unit to count foot coordinates.

Abstract: An object detection apparatus for detecting a target object in an input image. The apparatus includes a storage storing, for each of a plurality of part areas forming an area subject to image recognition processing, image recognition dictionaries used to recognize a target object and typed according to variations in appearance of a part of the target object to be detected in the part area. A part score calculator calculates, for each of the part areas, a part score indicative of a degree of similarity between the part area and each of at least some of the image recognition dictionaries. An integrated score calculator calculates an integrated score that is a weighted sum of the part scores for the respective part areas. A determiner determines, on the basis of the integrated score, whether or not the target object is present in the subject area.

Abstract: This document discloses a solution for maintaining information on locations of consumer products in a location tracking area. Customers are provided with personal electronic devices comprising a camera sensor arranged to capture images of consumer products provided in the location tracking area. The locations of the customers are also tracked in the location tracking area. The locations of the products may be maintained by monitoring locations where the personal electronic devices capture the images of the consumer products.

Abstract: A system and method for automatically preventing a collision between objects is described. One or more images of a working space may be collected, and a first object may be identified based on the one or more images. Three-dimensional coordinates of the first object may be determined, and a virtual boundary enclosing the identified first object in a three-dimensional coordinate system may be generated based on the three-dimensional coordinates of the first object, wherein the virtual boundary specifies a volume in the working space that a second object in the working space should not occupy. The coordinates in the three-dimensional coordinate system corresponding to the generated virtual boundary may be transmitted to a second processor, and the second processor may control the second object to perform an operation in the working space that includes the first object without contacting the virtual boundary of the first object.

Abstract: A method for occupancy location includes capturing a spatially coded image of a scene, identifying a region of interest in the image, generating a pixel plausibility index for each image pixel in the region of interest, and classifying pixels as relating to occupancy responsive to the pixel plausibility index.

Abstract: A method of and apparatus for changing lesion classification data, the method including determining whether at least one mass is included in an image of an object, determining whether the at least one mass corresponds to a lesion by using first data including at least one first information, selecting a false negative (FN) mass which has been determined as not corresponding to the lesion among the at least one mass, based on a first input, and changing the first data to second data by using second information of the selected FN mass.

Abstract: Verifying surveying instrument's external orientation during a measurement process, comprising directing the imaging means onto a reference object and detecting a first photographing direction of the imaging means, taking a first image of the reference object in the first photographing direction, memorizing the first image and the first photographing direction as being indicative of the surveying instrument's external orientation, re-directing the imaging means onto the reference object and detecting a second photographing direction of the imaging means, taking a second image of the reference object in the second photographing direction, and comparing a first with a second imaged position of the reference object in the first respectively the second image by image processing as well as the first with the second photographing direction and verifying the surveying instrument's external orientation based on disparities between the first and the second imaged position and/or between the first and the second photog

Abstract: Certain embodiments of the invention may include systems, methods, and apparatus for controlling devices based on a detected gaze. According to an example embodiment of the invention, a method is provided for executing computer executable instructions by one or more processors for controlling one or more devices attached to a vehicle based at least in part on a detected direction of observation of an occupant of the vehicle, the method further includes receiving one or more images from at least one camera attached to the vehicle; locating, from the one or more images, one or more body features associated with the occupant; determining a direction of gaze from the one or more located body features; and controlling the one or more devices based at least in part on the direction of gaze.

Abstract: The present invention provides a method and an apparatus for detecting a traffic monitoring video. The method comprises: determining a background reference model; determining a target area image in the traffic monitoring video according to the background reference model; updating the background reference model by using the target area image; summating all target points in detection area of each frame of image in the traffic monitoring video according to the updated background reference model to obtain a total area of all the target points; segmenting the frame with the biggest total area to obtain a target area at the best position; and extracting vehicle information from the target area at the best position. By using the present invention, the accuracy of a detection result in a complex environment may be improved.

Abstract: Methods, systems and processor-readable media for determining, post training, which locations of a classifier window are most significant in discriminating between class and non-class objects. The important locations can be determined by calculating the mean and standard deviation of every pixel location in the classifier context for both the positive and negative samples of the classifier. Using a combination of t-scores and mean differences, the importance of all pixel locations in the classifier score can be rank ordered. A sufficient number of pixel locations can then be selected to achieve a detection rate close enough to the full classifier for a particular application.

Abstract: Methods and systems for automatically determining the issuing state of a license plate. An image of a license plate acquired by an ALPR engine can be processed via one or more OCR engines such that each OCR engine among the OCR engines is tuned to a particular state. Confidence data output from the OCR engine(s) can be analyzed (among other factors) to estimate the issuing state associated with the license plate. Multiple observations related to the issuing state can be merged to derive an overall conclusion and assign an associated confidence value with respect to the confidence data and determine a likely issuing state associated with the license plate.

Abstract: A method for detecting printing defects includes, with a physical computing system, creating a matched reference image from a digital image, colors of said matched reference image being closer matched to a scanned image of said digital image. The method further includes, with said physical computing system, determining a color difference between corresponding points on said matched reference image and said scanned image; and with said physical computing system, identifying points that have said color distance greater than a predefined threshold as potential defects.

Abstract: Systems, methods, and computer readable storage mediums are provided for photograph digitization through the use of video photography and computer vision technology in accordance with various embodiments. A number of video frames are received. Each video frame includes a respective image of a physical print (or a portion thereof). For at least some of the video frames, a rating value is assigned to image of the physical print (or portions thereof). The rating value is in accordance with rating criteria. A highest quality image of the physical print is selected from among the respective images. The selection based on at least the rating value of the selected image. The highest quality image is stored as a final digital representation of the physical print.

Abstract: A forensic verification system (900) extracts a print signature via a print signature extractor (910) from a captured image of a printed halftone. The system (900) utilizes a comparator (920) to compare the print signature to a reference signature stored in a registry to determine differences between the print signature and the reference signature. The system (900) utilizes a forensic analyzer (930) to perform a forensic analysis on the signatures based on the comparison to authenticate the printed halftone.

Abstract: The disclosed embodiments provide a system that processes data. During operation, the system obtains a first electronic document associated with a user. Next, the system obtains one or more locations of data elements in the first electronic document from the user and uses the one or more locations to extract a first set of data from the first electronic document. Finally, the system enables, for the user, use of the first set of data with an application without requiring manual input of the first set of data into the application.

Abstract: Embodiments include methods, devices, software, and systems for identifying a person based on relatively permanent pigmented or vascular skin mark (RPPVSM) patterns in images. Locations of RPPVSMs in different images of people are point matched, and a correspondence probability that the point matched RPPVSMs are from different people is calculated. Other embodiments are also described. Other embodiments are also described and claimed.

Abstract: According to at least one embodiment, an electronic apparatus includes a detector, a classifier and a display controller. The detector detects face images in images. The classifier classifies, based on the face images, one or more images corresponding to a first face into a first group and one or more images corresponding to a second face into a second group. The display controller displays on a screen, if a number of images in the first group is greater than or equal to a threshold and a number of images in the second group is less than the threshold, a first representative image of the first group that is distinguishable from a second representative image of the second group.

Abstract: An image processing method includes following steps; capturing an image including a human face; executing a face detection in a predetermined area of the image; adjusting an exposure value of the predetermined area to an expected value when the face detection does not recognize the human face; executing the face detection and analyzing an image information in a face area of the image when the exposure value of the predetermined area reaches the expected value; and selecting a model parameter and an image adjusting parameter correspondingly according to the image information, processing the face area of the image, and outputting a processed image to a human face recognition system.

Abstract: A non-transitory computer-readable recording medium storing a program for character input which has an input predicting function for presenting, to a user, a candidate group for a phrase predicted to be input by the user, the program causing a computer to execute: an image recognizing step of recognizing a person included in an image by image recognition when a character is being input to an application program handling the image; and a candidate adding step of adding a phrase related to the person recognized from the image to a candidate group of phrases to be presented when a character is being input to the application program.

Abstract: An image processing apparatus according to an embodiment includes a scanning protocol creation unit, an image acquisition unit, a post-processing unit, and a storage unit. The scanning protocol creation unit creates a scanning protocol for a particular part of body of an object. The image acquisition unit acquires source image data by scanning the particular part using an imaging device according to scanning parameters in the scanning protocol. The post-processing unit performs post-processing on the source image data according to post-processing parameters in the scanning protocol to obtain processed image data. The storage unit stores the scanning protocol, or store the source image data and the processed image data or index identifiers thereof in association with parameters related to the scanning protocol as single job data of the object. The scanning protocol includes the scanning and the post-processing parameters, and information related to the imaging device and the post-processing unit.

Abstract: A technique for searching for an image includes calculating wavelet features of a plurality of images. A keyword included in radiographic interpretation information is extracted for each of the stored images. The calculated wavelet features and the extracted keywords are stored in association with the respective stored images. A newly taken image is acquired and a wavelet feature of the acquired image is calculated. A keyword included in radiographic interpretation information corresponding to the acquired image is extracted and a search for similar radiographic interpretation information from the stored keywords is performed. A wavelet feature-based spatial distance between the acquired image and each of images corresponding to the radiographic interpretation information found is calculated. A search result of any images for which the calculated wavelet feature-based spatial distance is shorter than a predetermined value is output, in ascending order of the calculated wavelet feature-based spatial distance.

Abstract: A method for capturing images of an individual to determine wellness for such individual, including establishing baseline physiological data for the individual, and baseline capture condition data for the individual; detecting and identifying the presence of the individual in the image capture environment; providing semantic data associated with the individual; capturing one or more images of the individual during a capture event and determining the capture conditions present during the capture event; using the event capture conditions, the baseline physiological data for the individual and the baseline capture condition data to determine the acceptability of event captured images; and using the acceptable images and the semantic data in determining the wellness of the individual.

Abstract: A method, a system, a computer program and a computer program product, as well as a computer-readable storage medium, enables navigating between different medical images and localizing dedicated positions in the images. The medical images may be digital breast tomosynthesis (DBT) images, full-field digital mammography system (FFDM) images and magnetic resonance (MR) images. The process is based on a shape prediction algorithm and a computer-aided detection/diagnosis (CAD) algorithm in order to find a corresponding second position in the at least one second image.

Abstract: A method for 3-D cephalometric analysis acquires reconstructed volume image data from a computed tomographic scan of a patient's head. The acquired volume image data simultaneously displays from at least a first 2-D view and a second 2-D view. For an anatomical feature of the head, an operator instruction positions a reference mark corresponding to the feature on either the first or the second displayed 2-D view and the reference mark displays on each of the at least first and second displayed 2-D views. In at least the first and second displayed 2-D views, one or more connecting lines display between two or more of the positioned reference marks. One or more cephalometric parameters are derived according to the positioned reference marks, the derived parameters are displayed.

Abstract: In a method and a magnetic resonance tomography system, at least two temporally separate original data sets are acquired with one phase measurement value being acquired for each pixel in each original image data set. An optimization technique for the shared calculation of corrected phase values for the pixels in the data sets is implemented in a computer, wherein the corrected phase values of the pixels in a first of the data sets is in each case dependent at least on the phase measured value of the pixel at the same location in a second of the data sets which is recorded beforehand or afterwards, and the corrected phase values of the pixels in the second data set are in each case dependent at least on the phase measured value of the pixel at the same place in the first data set. Corrected image data sets are generated from the corrected phase values.

Abstract: The present invention is directed to a limited angle tomography in combination with a filtered back projection using a special filter operator X. The filter operator X used within the present invention makes it possible to perform region of interest reconstructions although delivering high quality reconstruction images as generated by high effort SART methods. The used filter operator is purely and solely mathematically determined and defined by the spatial geometry which is used for the limited angle tomography. Without having the need to perform several iterations, the present invention directly calculates a solution, i.e. reconstructed image, equivalent to known iteratively construction methods. Although, incomplete projection data p may only be used, the present invention provides for a high image quality.

Abstract: A flow diverter is automatically detected from medical imaging data. The appearance of the flow diverter as represented in the data as well as the geometry or shape of the flow diverter is used in the detection. Using scoring for appearance relative to the centerline and cross-section of the centerline, the flow diverter is detected for increasing visualization.

Abstract: Computerized image guided control method uses image quantification to dynamically monitor and control the cell generation process. The method acquires images during the cell generation steps and uses computer image analysis to automatically quantify the results of the cell generation steps. In one embodiment, the quantified results from the image analysis are used to determine the readiness of the cell generation step. In another embodiment, a remedial recovery sub-step for the cell generation step is also guided by the imaging results. In yet another embodiment, when a cell generation step is determined to have failed, the cell generation process is early terminated based on image guided decision.

Abstract: Disclosed is a method and a system for obtaining and analyzing image pairs, obtained as sections of specimen. The invention facilitates registration of two corresponding images, one from each section of the specimen. The invention includes performing a registration process of the two images thereby obtaining a mathematical transformation rule and afterwards using said transformation rule for each image field identified in one image allowing that the corresponding image field in the other image may be identified as well. After the corresponding image pairs have been obtained using the method of the present invention, the sections can be assessed, such as by identifying the counting events for at least one type of object on the image fields within at least one corresponding image pair, optionally using automatic means.

Abstract: There is provided a measurement apparatus including an objective lens, a stage, a setting unit, and a controller. The stage is configured to support a sample vessel in which a plurality of wells each containing a sample are arranged and to define relative positions of the sample vessel and the objective lens. The setting unit is configured to determine whether to set each of the plurality of wells to be a measurement target and set the measurement target. The controller is configured to control the stage such that a well determined to be the measurement target by the setting unit and the objective lens face each other.

Abstract: Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Abstract: A method for the determination of classification parameters or adaptation parameters for the classification of bank notes in different classes by means of a bank note processing apparatus includes: sensing measurement data for a plurality of reference bank notes having known properties by means of a sensor device of the bank note processing apparatus, at least some of the reference bank notes being provided with an adhesive strip; determining a set of classification parameters; ascertaining the distribution of the plurality of reference bank notes over the different classes on the basis of the measurement data of the reference bank notes and the set of classification parameters; and comparing the distribution over the different classes determined for the plurality of reference bank notes, with the optimal distribution of the reference bank notes over the different classes, and ascertained from the known properties of the plurality of reference bank notes.

Abstract: An inspection sensitivity evaluation method includes generating a reference design image where plural figure patterns are arranged, based on reference design data, generating plural position shift design images whose positional deviation amounts are mutually different such that positions of the plural figure patterns in the reference design image are uniformly shifted, acquiring an optical image of a photo mask fabricated based on the reference design data where there is no positional deviation from the plural figure patterns, calculating a first positional deviation amount between the reference design image and the optical image, calculating plural second positional deviation amounts each of which is a respective positional deviation amount between a corresponding position shift design image of the plural position shift design images and the optical image, and acquiring a detectable positional deviation amount by using the first and the plural second positional deviation amounts.

Abstract: Disclosed is a system and method for identifying a defect in a weld joint through an X-Ray image. An image capturing module captures the X-Ray image of the weld joint. The X-Ray image comprises dark areas and bright areas. An image processing module executes a gamma correction algorithm on the X-Ray image by using a standard power law transform in order to enhance contrast of the dark areas and the bright areas. The image processing module further passes the X-Ray image through one or more de-noising filters in order to remove noise from the X-Ray image. An analysis module identifies a fragment of the X-Ray image that comprises one or more dark area with respect to neighboring areas adjacent to the one or more dark area. The analysis module further segments the X-Ray image into one or more segments in order to identify the defect in the weld joint.

Abstract: A stereo image rectification apparatus includes: an input unit, for receiving a first image from a first camera and a second image from a second camera, wherein the first and the second camera are affine cameras; a feature point determination unit, for determining at least one first feature point on the first image and at least one second feature point on the second image, wherein both the first feature point on the first image and the second feature point on the second image correspond to the same imaginary object; and a warping matrix establishing unit, for establishing a warping matrix for mapping the first image to the second image by: calculating the elements of the warping matrix in regard to the mapping between the x- and y-coordinates of the first feature points and the y-coordinates of the second feature points

Abstract: The present invention is directed to system and method capture and process body measurement data including one or more body scanners, each body scanner configured to capture a plurality depth images of a user. A backend system, coupled to each body scanner, is configured to receive the plurality of depth images, generate a three dimensional avatar of the user based on the plurality of depth images, and generate a set of body measurements of the user based on the avatar. A repository is in communication with the backend system and configured to associate the body scanner data with the user and store the body scanner data.

Abstract: There is provided an image processing apparatus, including a virtual viewpoint interval determination section which determines virtual viewpoint intervals corresponding to an image to be processed based on a parallax corresponding to the image to be processed and an image feature amount for each pixel in the image to be processed.

Abstract: Machines, systems and methods for maintaining a representative data set in a document classification system, the method comprising: including an initial set of seed representative data in a representative data set (RDS) implemented for a knowledge base (KB), wherein the KB is trained to classify documents provided to a document classification system based on analysis of the representative documents included in the RDS and a set of rules, wherein the seed representative data includes a balanced number of representative data across a plurality of classes; updating the RDS by adding or removing representative data from the RDS based on feedback received about accuracy of classification of one or more documents by the classification system; and retraining the KB, wherein the retraining is performed based on occurrence of one or more events.

Abstract: Disclosed is a method and system for automatic algorithm selection for image processing. The invention discloses the method and system for automatically selecting the correct algorithm(s) for a varying requirement of the image for processing. The selection of algorithm is completely automatic and guided by a plurality of machine learning approaches. The system here is configured to pre-process plurality of images for creating a training data. Next, the test image is extracted, pre-processed and matched for assessing the best possible match of algorithm for processing.

Abstract: A method for processing a picture is disclosed. The method according to the invention comprises: segmenting the picture into a background layer and at least another layer; selecting a background template of color harmony for the background layer; determining one template of color harmony for each of the at least another layer from the background template of color harmony depending on the distance between the background layer and said at least another layer. processing the picture by mapping the colors of each segmented layer using the corresponding template of color harmony.

Abstract: A system for segregating handwritten information from typographic information on a document may include a memory, an interface, and a processor. The memory stores an electronic document image of a document where the electronic document image includes pixels and each pixel has a characteristic. The processor may receive, via the interface, the electronic document image and may identify first, second and third most frequently occurring characteristics of the pixels of the electronic document image. The pixels having the first most frequently occurring characteristic represent a background of the document. The processor may determine the typographic information of the document as represented by pixels having the second most frequently occurring characteristic. The processor may determine the handwritten information of the document as represented by pixels having the third most frequently occurring characteristic.

Abstract: An image sorting method includes: inputting a two-dimensional distribution function of a color plane image; sequentially generating a high-frequency subband image from plural resolutions by filtering the color plane image, generating a high-frequency image by sequentially combining the high-frequency subband images from low resolution, preparing a two-dimensional distribution function of an edge plane image that's defined by raising each pixel value of the high-frequency image to a second power; expanding the two-dimensional distribution functions of the color plane image and edge plane image into a two-dimensional Legendre series and two-dimensional Fourier series, respectively, describing the two-dimensional color distributions of the color plane image and edge plane image by a Legendre expansion coefficient and a Fourier expansion coefficient, respectively; evaluating the distribution of the color plane image based on the Legendre and Fourier expansion coefficients; and sorting the color plane image into i

Abstract: A system for segregating handwritten information from typographic information on a document may include a memory, an interface, and a processor. The memory stores an electronic document image of a document where the electronic document image includes pixels and each pixel has a characteristic. The processor may receive, via the interface, the electronic document image and may identify first, second and third most frequently occurring characteristics of the pixels of the electronic document image. The pixels having the first most frequently occurring characteristic represent a background of the document. The processor may determine the typographic information of the document as represented by pixels having the second most frequently occurring characteristic. The processor may determine the handwritten information of the document as represented by pixels having the third most frequently occurring characteristic.

Abstract: An apparatus comprising one or more processors configured to process a first image at a first resolution to generate a first solved image at the first resolution, determine a difference between the first solved image and a function of the first image, and generate a second solved image at a second resolution higher than the first resolution based at least in part on the difference between the first solved image and the function of the first image.

Abstract: A substantially rectangular spectral representation is synthesized, which is adapted to produce either (a) image capture device sensor outputs if applied to an image capture device or (b) color values if applied to corresponding analysis functions. Spectral expansion, which can be used in various image processing methods, is achieved with the synthesized spectral representation.

Abstract: Methods, systems and computer program products for automatic color correction of image and video content are provided. A computer-implemented method may include generating an auto-level linear transform and a histogram equalization transform of a color distribution histogram for an original image among a set of sequential images. The auto-level linear transform and the histogram equalization transform are blended to create a modified image. Pixel color is adjusted in the modified image so that a color difference between a pixel and neighboring pixels in the modified image corresponds to a color difference between respective pixels in the original image.