Patent application number | Description | Published |
20100119119 | AUTOMATED SYSTEMS AND METHODS FOR SCREENING ZEBRAFISH - Systems and methods for screening zebrafish comprising, a storage device for at least temporarily storing an image of a zebrafish to be screened; a zebrafish atlas; and an operating device that automatically screens the zebrafish at least in part by automatically comparing one or more anatomical features of the zebrafish to one or more standards. | 05-13-2010 |
20100119127 | SYSTEMS AND METHODS FOR AUTOMATED EXTRACTION OF HIGH-CONTENT INFORMATION FROM WHOLE ORGANISMS - Systems and methods for extracting information about an organism of interest, generally comprising, an atlas of the organism of interest; a storage device for at least temporarily storing an image of the organism of interest; and an operating device that automatically creates a map of the image of the organism of interest and automatically compares the map of the image to the atlas of the organism. | 05-13-2010 |
20100246980 | SYSTEM AND METHOD FOR AUTOMATIC LANDMARK LABELING WITH MINIMAL SUPERVISION - A system and method for estimating a set of landmarks for a large image ensemble employs only a small number of manually labeled images from the ensemble and avoids labor-intensive and error-prone object detection, tracking and alignment learning task limitations associated with manual image labeling techniques. A semi-supervised least squares congealing approach is employed to minimize an objective function defined on both labeled and unlabeled images. A shape model is learned on-line to constrain the landmark configuration. A partitioning strategy allows coarse-to-fine landmark estimation. | 09-30-2010 |
20110013845 | OPTIMAL SUBSPACES FOR FACE RECOGNITION - A technique for optimizing object recognition is disclosed. The technique includes receiving at least one image of an object and at least one reference image. The technique further includes identifying at least one performance metric corresponding to an object recognition task. The identified performance metric is optimized to generate the corresponding optimized performance metric by determining an optimal subspace based on a determined objective function corresponding to the object recognition task and a difference between the received image and the corresponding reference image. Subsequently, the technique includes comparing the received image with the reference image based on the optimized performance metric for performing the object recognition task. | 01-20-2011 |
20110285837 | METHODS AND SYSTEMS FOR IDENTIFYING WELL WALL BOUNDARIES OF MICROPLATES - The present invention is directed to method and system for image processing of test wells on a microplates wherein the microplates' test well wall boundaries are identified through the use of a candidate edge image wherein the candidate edge image represents locations of one or more segments of the wall boundaries. | 11-24-2011 |
20120237117 | OPTIMAL GRADIENT PURSUIT FOR IMAGE ALIGNMENT - A method for image alignment is disclosed. In one embodiment, the method includes acquiring a facial image of a person and using a discriminative face alignment model to fit a generic facial mesh to the facial image to facilitate locating of facial features. The discriminative face alignment model may include a generative shape model component and a discriminative appearance model component. Further, the discriminative appearance model component may have been trained to estimate a score function that minimizes the angle between a gradient direction and a vector pointing toward a ground-truth shape parameter. Additional methods, systems, and articles of manufacture are also disclosed. | 09-20-2012 |
20130243309 | SYSTEM AND METHOD FOR AUTOMATIC LANDMARK LABELING WITH MINIMAL SUPERVISION - A system and method for estimating a set of landmarks for a large image ensemble employs only a small number of manually labeled images from the ensemble and avoids labor-intensive and error-prone object detection, tracking and alignment learning task limitations associated with manual image labeling techniques. A semi-supervised least squares congealing approach is employed to minimize an objective function defined on both labeled and unlabeled images. A shape model is learned on-line to constrain the landmark configuration. A partitioning strategy allows coarse-to-fine landmark estimation. | 09-19-2013 |
20130294686 | OPTIMAL GRADIENT PURSUIT FOR IMAGE ALIGNMENT - A method for image alignment is disclosed. In one embodiment, the method includes acquiring a facial image of a person and using a discriminative face alignment model to fit a generic facial mesh to the facial image to facilitate locating of facial features. The discriminative face alignment model may include a generative shape model component and a discriminative appearance model component. Further, the discriminative appearance model component may have been trained to estimate a score function that minimizes the angle between a gradient direction and a vector pointing toward a ground-truth shape parameter. Additional methods, systems, and articles of manufacture are also disclosed. | 11-07-2013 |
20140085545 | SYSTEM AND METHOD FOR DETECTION AND TRACKING OF MOVING OBJECTS - A method implemented using a processor based device is disclosed. The method includes receiving a video stream comprising a plurality of image frames having at least one moving object, determining a difference between at least two image frames among the plurality of image frames and generating a difference image comprising a plurality of image blobs corresponding to the at least one moving object. The method further includes generating a plurality of bounding boxes, each bounding box surrounding at least one corresponding image blob among the plurality of image blobs, and determining a subset of bounding boxes among the plurality of bounding boxes, associated with the corresponding moving object, using a fuzzy technique based on a perceptual characterization of the subset of bounding boxes. The method also includes merging the subset of bounding boxes to generate a merged bounding box enclosing the subset of bounding boxes to detect the moving object. | 03-27-2014 |
Patent application number | Description | Published |
20110154512 | Humanized Fc gamma R Mice - Genetically modified non-human animals and methods and compositions for making and using them are provided, wherein the genetic modification comprises a deletion of the endogenous low affinity FcγR locus, and wherein the mouse is capable of expressing a functional FcRγ-chain. Genetically modified mice are described, including mice that express low affinity human FcγR genes from the endogenous FcγR locus, and wherein the mice comprise a functional FcRγ-chain. Genetically modified mice that express up to five low affinity human FcγR genes on accessory cells of the host immune system are provided. | 06-23-2011 |
20110256556 | Humanized FcgR Mice - Genetically modified non-human animals and methods and compositions for making and using them are provided, wherein the genetic modification comprises a deletion of the endogenous low affinity FcγR locus, and wherein the mouse is capable of expressing a functional FcRγ-chain. Genetically modified mice are described, including mice that express low affinity human FcγR genes from the endogenous FcγR locus, and wherein the mice comprise a functional FcRγ-chain. Genetically modified mice that express up to five low affinity human FcγR genes on accessory cells of the host immune system are provided. | 10-20-2011 |
20120260357 | Low Affinity FcgR Deficient Mice - Genetically modified non-human animals and methods and compositions for making and using them are provided, wherein the genetic modification comprises a deletion of the endogenous low affinity FcγR locus, and wherein the mouse is capable of expressing a functional FcRγ-chain. Genetically modified mice are described, including mice that express low affinity human FcγR genes from the endogenous FcγR locus, and wherein the mice comprise a functional FcRγ-chain. Genetically modified mice that express up to five low affinity human FcγR genes on accessory cells of the host immune system are provided. | 10-11-2012 |
20130109053 | Genetically Modified T Cell Receptor Mice | 05-02-2013 |
20130111616 | Genetically Modified Major Histocompatibility Complex Mice | 05-02-2013 |
20130185820 | Genetically Modified Major Histocompatibility Complex Animals - The invention provides genetically modified non-human animals that express a humanized MHC II protein (humanized MHC II α and β polypeptides), as well as embryos, cells, and tissues comprising the same. Also provided are constructs for making said genetically modified animals and methods of making the same. Methods of using the genetically modified animals to study various aspects of human immune system are provided. | 07-18-2013 |
20130333057 | Humanized Non-Human Animals with Restricted Immunoglobulin Heavy Chain Loci - Mice, embryos, cells, and tissues having a restricted immunoglobulin heavy chain locus and an ectopic sequence encoding one or more ADAM6 proteins are provided. In various embodiments, mice are described that have humanized endogenous immunoglobulin heavy chain loci and are capable of expressing an ADAM6 protein or ortholog or homolog or functional fragment thereof that is functional in a male mouse. Mice, embryos, cells, and tissues having an immunoglobulin heavy chain locus characterized by a single human V | 12-12-2013 |
20140154701 | HUMANIZED FC GAMMA R MICE - Genetically modified non-human animals and methods and compositions for making and using them are provided, wherein the genetic modification comprises a deletion of the endogenous low affinity FcγR locus, and wherein the mouse is capable of expressing a functional FcRγ-chain. Genetically modified mice are described, including mice that express low affinity human FcγR genes from the endogenous FcγR locus, and wherein the mice comprise a functional FcRγ-chain. Genetically modified mice that express up to five low affinity human FcγR genes on accessory cells of the host immune system are provided. | 06-05-2014 |
20140157445 | LOW AFFINITY FCGR DEFICIENT MICE - Genetically modified non-human animals and methods and compositions for making and using them are provided, wherein the genetic modification comprises a deletion of the endogenous low affinity FcγR locus, and wherein the mouse is capable of expressing a functional FcRγ-chain. Genetically modified mice are described, including mice that express low affinity human FcγR genes from the endogenous FcγR locus, and wherein the mice comprise a functional FcRγ-chain. Genetically modified mice that express up to five low affinity human FcγR genes on accessory cells of the host immune system are provided. | 06-05-2014 |
20140245466 | HUMANIZED T CELL CO-RECEPTOR MICE - The invention provides genetically modified non-human animals that express chimeric human/non-human T cell co-receptor polypeptides (e.g., CD4, CD8α, CD8β), as well as embryos, cells, and tissues comprising the same. Also provided are constructs for making said genetically modified animals and methods of making the same. | 08-28-2014 |
20150024412 | Humanized FcgammaR Mice - Genetically modified non-human animals and methods and compositions for making and using them are provided, wherein the genetic modification comprises a deletion of the endogenous low affinity FcγR locus, and wherein the mouse is capable of expressing a functional FcRγ-chain. Genetically modified mice are described, including mice that express low affinity human FcγR genes from the endogenous FcγR locus, and wherein the mice comprise a functional FcRγ-chain. Genetically modified mice that express up to five low affinity human FcγR genes on accessory cells of the host immune system are provided. | 01-22-2015 |
20150040253 | GENETICALLY MODIFIED MAJOR HISTOCOMPATIBILITY COMPLEX MICE - The invention provides genetically modified non-human animals that express a humanized MHC II protein (humanized MHC II α and β polypeptides), as well as embryos, cells, and tissues comprising the same. Also provided are constructs for making said genetically modified animals and methods of making the same. Methods of using the genetically modified animals to study various aspects of human immune system are provided. | 02-05-2015 |
20150245598 | Genetically Modified Major Histocompatibility Complex Animals - The invention provides genetically modified non-human animals that express a humanized MHC II protein (humanized MHC II α and β polypeptides), as well as embryos, cells, and tissues comprising the same. Also provided are constructs for making said genetically modified animals and methods of making the same. Methods of using the genetically modified animals to study various aspects of human immune system are provided. | 09-03-2015 |
20150282463 | Non-Human Animals Having Humanized FC-Gamma Receptors - Genetically modified mice and methods and compositions for making and using the same are provided, wherein the genetic modification comprises humanization of an FcγRI protein. | 10-08-2015 |
20150313195 | Low Affinity FCGR Deficient Mice - Genetically modified non-human animals and methods and compositions for making and using them are provided, wherein the genetic modification comprises a deletion of the endogenous low affinity FcγR locus, and wherein the mouse is capable of expressing a functional FcRγ-chain. Genetically modified mice are described, including mice that express low affinity human FcγR genes from the endogenous FcγR locus, and wherein the mice comprise a functional FcRγ-chain. Genetically modified mice that express up to five low affinity human FcγR genes on accessory cells of the host immune system are provided. | 11-05-2015 |
Patent application number | Description | Published |
20080291272 | METHOD AND SYSTEM FOR REMOTE ESTIMATION OF MOTION PARAMETERS - A system and method, the method including calibrating an image capturing system; capturing a video sequence with the image capturing system; detecting a subject of interest in the video sequence; tracking the subject over a period of time; and extracting data associated with a motion of the subject based on the tracking. | 11-27-2008 |
20090015678 | METHOD AND SYSTEM FOR AUTOMATIC POSE AND TRAJECTORY TRACKING IN VIDEO - A system and method, the method including stabilizing a video sequence captured by an image capturing system, extracting a subject of interest in the stabilized video sequence to isolate the subject from other objects in the video sequence, determining a trajectory associated with the subject, tracking the trajectory of the subject over a period of time; extracting data associated with the trajectory of the subject based on the tracking; and presenting the extracted data in a user-understandable format. | 01-15-2009 |
20090089093 | SYSTEM AND METHOD TO MANAGE DELIVERY OF HEALTHCARE TO A PATIENT - A system and method to manage delivery of healthcare via a plurality of resources to a patient is provided. The system and method track and output a signal representative of a location of at least one of a series of resources relative to a control volume associated with the patient, acquire at least one signal representative of detecting ingress or egress of at least one of the plurality of resources relative to the control volume; and output a first signal representative of one of a series of milestones as defined in a predetermined protocol in response to detecting ingress or egress of at least one of the resources relative to the control volume. | 04-02-2009 |
20090304230 | Detecting and tracking targets in images based on estimated target geometry - A system for detecting and tracking targets captured in images, such as people and object targets that are captured in video images from a surveillance network. Targets can be detected by an efficient, geometry-driven approach that determines likely target configuration of the foreground imagery based on estimated geometric information of possible targets. The detected targets can be tracked using a centralized tracking system. | 12-10-2009 |
20130132931 | SYSTEMS AND METHODS FOR EMOTIVE SOFTWARE USABILITY - Systems and methods are disclosed for emotive healthcare software usability. A method to improve software usability is described, the method comprising presenting a software application to a user. The method also including logging activities of the user with respect to the software application, wherein the logging includes recording the user using the software application, and wherein the activities include user action with respect to the software application and mouse location on a user interface displaying the software application. The method also including interpreting user emotion from the recording, and tracking an emotive index based on a combination of user emotion and user action with respect to the software application and mouse location. The method also including providing feedback based on the emotive index. | 05-23-2013 |
20130152997 | APPARATUS AND METHOD FOR PREDICTING SOLAR IRRADIANCE VARIATION - An apparatus and method, as may be used for predicting solar irradiance variation, are provided. The apparatus may include a solar irradiance predictor processor ( | 06-20-2013 |
Patent application number | Description | Published |
20090034791 | Image processing for person and object Re-identification - A device and method for processing an image to create appearance and shape labeled images of a person or object captured within the image. The appearance and shape labeled images are unique properties of the person or object and can be used to re-identify the person or object in subsequent images. The appearance labeled image is an aggregate of pre-stored appearance labels that are assigned to image segments of the image based on calculated appearance attributes of each image segment. The shape labeled image is an aggregate of pre-stored shape labels that are assigned to image segments of the image based on calculated shape attributes of each image segment. An identifying descriptor of the person or object can be computed based on both the appearance labeled image and the shape labeled image. The descriptor can be compared with other descriptors of later captured images to re-identify a person or object. | 02-05-2009 |
20090310862 | Method and system for crowd segmentation - Aspects of the disclosure provide a method for crowd segmentation that can globally optimize crowd segmentation of an input image based on local information of the input image. The method can include receiving an input image of a site, initializing a plurality of hypothesis based on the input image, dividing the input image into a plurality of patches, calculating an affinity measure of one or more patches to a hypothesis based on a partial response of the patches to a whole body classifier of the hypothesis that includes a combination of weak classifiers, and optimizing assignments of the plurality of patches to the plurality of hypothesis based on the affinity measures of the plurality of patches to the plurality of hypothesis. | 12-17-2009 |
20110051999 | Device and method for detecting targets in images based on user-defined classifiers - A device and method for detecting targets of interest in an image, such as people or objects of a certain type. Targets are detected based on an optimized strong classifier descriptor that can be based on a combination of weak classifier descriptors. The weak classifier descriptors can include a user-defined weak classifier descriptor that is defined by a user to represent a shape or appearance attribute that is characteristic of parts of the target of interest. The strong classifier descriptor can be optimized by selecting a subset of weak classifier descriptors that exhibit improved performance in detecting targets in training images. | 03-03-2011 |
20120183212 | IDENTIFYING DESCRIPTOR FOR PERSON OR OBJECT IN AN IMAGE - A device and method for processing an image to create appearance and shape labeled images of a person or object captured within the image. The appearance and shape labeled images are unique properties of the person or object and can be used to re-identify the person or object in subsequent images. The appearance labeled image is an aggregate of pre-stored appearance labels that are assigned to image segments of the image based on calculated appearance attributes of each image segment. The shape labeled image is an aggregate of pre-stored shape labels that are assigned to image segments of the image based on calculated shape attributes of each image segment. An identifying descriptor of the person or object can be computed based on both the appearance labeled image and the shape labeled image. The descriptor can be compared with other descriptors of later captured images to re-identify a person or object. | 07-19-2012 |
20120189207 | IDENTIFYING DESCRIPTOR FOR PERSON AND OBJECT IN AN IMAGE (AS AMENDED) - A device and method for processing an image to create appearance and shape labeled images of a person or object captured within the image. The appearance and shape labeled images are unique properties of the person or object and can be used to re-identify the person or object in subsequent images. The appearance labeled image is an aggregate of pre-stored appearance labels that are assigned to image segments of the image based on calculated appearance attributes of each image segment. The shape labeled image is an aggregate of pre-stored shape labels that are assigned to image segments of the image based on calculated shape attributes of each image segment. An identifying descriptor of the person or object can be computed based on both the appearance labeled image and the shape labeled image. The descriptor can be compared with other descriptors of later captured images to re-identify a person or object. | 07-26-2012 |
20130148866 | ASSESSING BIOMETRIC SAMPLE QUALITY USING WAVELETS AND A BOOSTED CLASSIFIER - A biometric sample training device, a biometric sample quality assessment device, a biometric fusion recognition device, an integrated biometric fusion recognition system and example processes in which each may be used are described. Wavelets and a boosted classifier are used to assess the quality of biometric samples, such as facial images. The described biometric sample quality assessment approach provides accurate and reliable quality assessment values that are robust to various degradation factors, e.g., such as pose, illumination, and lighting in facial image biometric samples. The quality assessment values allow biometric samples of different sample types to be combined to support complex recognition techniques used by, for example, biometric fusion devices, resulting in improved accuracy and robustness in both biometric authentication and biometric recognition. | 06-13-2013 |