Patents Examined by Amara Abdi
  • Patent number: 10846508
    Abstract: Methods, storage mediums, and systems for image data processing are provided. Embodiments for the methods, storage mediums, and systems include configurations to perform one or more of the following steps: background signal measurement, particle identification using classification dye emission and cluster rejection, inter-image alignment, inter-image particle correlation, fluorescence integration of reporter emission, and image plane normalization.
    Type: Grant
    Filed: October 22, 2018
    Date of Patent: November 24, 2020
    Assignee: Luminex Corporation
    Inventor: Wayne D. Roth
  • Patent number: 10817727
    Abstract: An information processing apparatus estimates a waiting time in a waiting line configured by a plurality of objects and includes at least one processor coupled to a memory, serving as a first obtaining unit to obtain a number of objects detected in an image in which the waiting line is captured, a second obtaining unit to obtain a number of objects that leave the waiting line per unit time, a correcting unit to correct the first obtained number by multiplying a correction coefficient with the first obtained number, in a case when the first obtained number is equal to or greater than a predetermined threshold, and an estimation unit to estimate the waiting time in the waiting line based on the corrected number and the second obtained number, when the first obtained number is equal to or greater than the predetermined threshold.
    Type: Grant
    Filed: December 28, 2018
    Date of Patent: October 27, 2020
    Assignee: Canon Kabushiki Kaisha
    Inventor: Tetsuhiro Funagi
  • Patent number: 10817723
    Abstract: An information-display method for use in a transparent display is provided.
    Type: Grant
    Filed: August 16, 2018
    Date of Patent: October 27, 2020
    Assignees: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE, INTELLECTUAL PROPERTY INNOVATION CORPORATION
    Inventors: Shin-Hong Kuo, Yi-Shou Tsai, Kuan-Ting Chen, Yu-Hsiang Tsai, Yu-Tang Tsai
  • Patent number: 10810735
    Abstract: The present disclosure discloses a method and apparatus for analyzing medical image. A specific embodiment of the method includes: acquiring medical image data; generating multi-scale decision sample data based on the medical image data; inputting the multi-scale decision sample data into a deep neural network model to obtain an auxiliary diagnosis data of the medical image, the deep neural network model being trained according to a consistency principle between multi-scale training sample data and an output result of the deep neural network model. In the embodiment, a multi-scale training sample is used to accelerate the training process of the deep neural network model, thus the auxiliary diagnosis decision process can be accelerated, while the accuracy of the trained deep neural network model of the embodiment is improved according to a consistency principle of data between different scales and output results, thereby improving the accuracy of auxiliary diagnosis decision.
    Type: Grant
    Filed: July 31, 2018
    Date of Patent: October 20, 2020
    Assignee: Baidu Online Network Technology (Beijing) Co., Ltd.
    Inventors: Shaoting Zhang, Qi Duan
  • Patent number: 10810414
    Abstract: A monitoring system or tracking system may include an input port and a controller in communication with the input port. The input port may receive video from an image capturing device. The image capturing device is optionally part of the monitoring system and in some cases includes at least part of the controller. The controller may be configured to receive video via the input port and identify a subject within frames of the video relative to a background within the frames. Further, the controller may be configured to identify dimensions, posture, hand location, feet location, and/or other parameters of the identified subject in frames of the video and determine when the subject is performing a task. Based on the dimensions and/or other parameters identified or extracted from the video during the predetermined task, the controller may output via the output port assessment information.
    Type: Grant
    Filed: July 18, 2018
    Date of Patent: October 20, 2020
    Assignee: WISCONSIN ALUMNI RESEARCH FOUNDATION
    Inventors: Robert Radwin, Xuan Wang, Yu Hen Hu, Nicholas Difranco
  • Patent number: 10810460
    Abstract: The present disclosure relates to computer-implemented systems and methods for training and using generative adversarial networks. In one implementation, a system for training a generative adversarial network may include at least one processor that may provide a first plurality of images including representations of a feature-of-interest and indicators of locations of the feature-of-interest and use the first plurality and indicators to train an object detection network. Further, the processor(s) may provide a second plurality of images including representations of the feature-of-interest, and apply the trained object detection network to the second plurality to produce a plurality of detections of the feature-of-interest.
    Type: Grant
    Filed: June 13, 2018
    Date of Patent: October 20, 2020
    Assignee: Cosmo Artificial Intelligence—AI Limited
    Inventors: Nhan Ngo Dinh, Giulio Evangelisti, Flavio Navari
  • Patent number: 10805647
    Abstract: Exemplary embodiments relate to the automatic generation of captions for visual media, including photos, photo albums, non-live video, and live video. The visual media may be analyzed to determine contextual information (such as location information, people and objects in the video, time, etc.). A system may integrate this information with information from the user's social network and a personalized language model built using public-facing language from the user. The personalized language model captures the user's way of speaking to make the generated captions more detailed and personalized. The language model may account for the context in which the video was generated. The captions maybe used to simplify and encourage content generation, and may also be used to index visual media, rank the media, and recommend the media to users likely to engage with the media.
    Type: Grant
    Filed: December 21, 2017
    Date of Patent: October 13, 2020
    Assignee: FACEBOOK, INC.
    Inventors: Ying Zhang, Shengbo Guo
  • Patent number: 10803337
    Abstract: A computer-implemented method comprises generating a description of a character symbol from a binarized image; comparing a template for the character symbol with the description of the character symbol based on a reference description, wherein the template comprises a grid of cells, a set of local features which may be present in the grid of cells, the reference description specifying which member of the set of local features should be present or absent in the grid of cells, and a threshold of an accepted deviation with the description of the character symbol; assigning a penalty value to the description of the character symbol via a cost function when a discrepancy exists based on the comparing; selecting the template as a match candidate for the character symbol when the penalty value is below the threshold; recognizing the character symbol based on the selecting.
    Type: Grant
    Filed: April 22, 2019
    Date of Patent: October 13, 2020
    Assignee: Intelligent Security Systems Corporation
    Inventor: Alexander Bonch-Osmolovsky
  • Patent number: 10796433
    Abstract: A screen output control unit of an interpretation support server outputs a viewer screen on which a tissue distribution table is displayed. The tissue distribution table has a first axis, a second axis perpendicular to the first axis, and a first bar mark arranged in a region surrounded by the first axis and the second axis. On the first axis, a plurality of parts of the lung are arranged. On the second axis, a plurality of types of tissues are arranged. The first bar mark expresses the volume of the tissue with a length along the first axis.
    Type: Grant
    Filed: December 26, 2018
    Date of Patent: October 6, 2020
    Assignee: FUJIFILM Corporation
    Inventors: Rena Kamoda, Yuki Okabe, Yusuke Kitagawa
  • Patent number: 10795315
    Abstract: A method of generating a color image of a sample includes obtaining a plurality of low resolution holographic images of the sample using a color image sensor, the sample illuminated simultaneously by light from three or more distinct colors, wherein the illuminated sample casts sample holograms on the image sensor and wherein the plurality of low resolution holographic images are obtained by relative x, y, and z directional shifts between sample holograms and the image sensor. Pixel super-resolved holograms of the sample are generated at each of the three or more distinct colors. De-multiplexed holograms are generated from the pixel super-resolved holograms. Phase information is retrieved from the de-multiplexed holograms using a phase retrieval algorithm to obtain complex holograms. The complex hologram for the three or more distinct colors is digitally combined and back-propagated to a sample plane to generate the color image.
    Type: Grant
    Filed: May 10, 2017
    Date of Patent: October 6, 2020
    Assignee: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
    Inventors: Aydogan Ozcan, Yichen Wu, Yibo Zhang, Wei Luo
  • Patent number: 10783360
    Abstract: Apparatuses, systems and methods are provided for vehicle operator gesture recognition and transmission of related gesture data. More particularly, apparatuses, systems and methods are provided for vehicle operator gesture recognition and transmission of related gesture data based on classification of image data.
    Type: Grant
    Filed: April 10, 2019
    Date of Patent: September 22, 2020
    Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
    Inventors: Aaron Scott Chan, Kenneth J. Sanchez
  • Patent number: 10776649
    Abstract: In a monitoring apparatus, an optical flow calculator calculates an optical flow for each of selected pixel regions included in at least one pixel region group of an image. The optical flow for each of the selected pixel regions includes information about a direction and amount of movement of a corresponding part of the at least one target object. An adjuster calculates the sum of areas of all the pixel regions included in the at least one pixel region group of the image, and adjusts a selected number of the optical flows to be matched with the at least one pixel region group as a function of the calculated sum of the areas of all the pixel regions included in the at least one pixel region group.
    Type: Grant
    Filed: September 26, 2018
    Date of Patent: September 15, 2020
    Assignees: DENSO CORPORATION, TOYOTA JIDOSHA KABUSHIKI KAISHA
    Inventors: Ken Tanabe, Hiroaki Ito, Naohide Uchida
  • Patent number: 10768303
    Abstract: The invention relates to a method for identifying individual trees in airborne lidar data and a corresponding computer program product. The method comprises: a. obtaining lidar data points of a group of one or more trees; b. define voxels in a regular 3D grid on the basis of the data points; c. applying an image segmentation algorithm to obtain at least one segment; and, if at least two segments are obtained: d. find the root voxel and branch voxels of a first segment and a second neighbouring segment; and e. merging the first and second segment if the distance between the first and second root voxel is less than a first threshold, the distance between the first root voxel and the closest second branch voxel is less than a second threshold; and the distance between the first branch voxels and the second branch voxels is less than a third threshold.
    Type: Grant
    Filed: August 24, 2016
    Date of Patent: September 8, 2020
    Assignees: YaDo Holding B.V.
    Inventors: Biao Xiong, Dong Yang
  • Patent number: 10768628
    Abstract: Systems and methods are directed to object detection at various ranges for autonomous vehicles. In one example, a system includes a camera providing a first field of view; a machine-learned model that has been trained to generate object detection range estimates based at least in part on labeled training data representing image data having a second field of view different from the first field of view; and a computing system including one or more processors; and memory including instructions that, when executed by the one or more processors, cause the one or more processors to perform operations. The operations include obtaining image data from the camera.
    Type: Grant
    Filed: May 30, 2018
    Date of Patent: September 8, 2020
    Assignee: UATC, LLC
    Inventors: R. Lance Martin, Zac Vawter, Andrei Pokrovsky
  • Patent number: 10769477
    Abstract: Disclosed are a method, an apparatus, a device and a storage medium for extracting a cardiovisceral vessel from a CTA image, including: performing corrosion operation and expansion operation on an image data successively via a preset structural element to obtain a structure template, wherein the image data is a coronary angiography image after a downsampling processing, and the structure template is a structure excluding a pulmonary region; performing a transformation in layer-by-layer on slice images of the structure template to acquire a first ascending aorta structure in the structure template, and acquiring an aorta center coordinate and an aorta radius in the last layer of slice image of the structure template; and establishing a binarized spherical structure according to the aorta center coordinate and the aorta radius, and synthesizing a second ascending aorta structure by combining the first ascending aorta structure with the structure template and the binarized spherical structure.
    Type: Grant
    Filed: July 25, 2018
    Date of Patent: September 8, 2020
    Assignee: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY
    Inventors: Shoujun Zhou, Baochang Zhang, Baolin Li, Cheng Wang, Pei Lu
  • Patent number: 10769846
    Abstract: Autonomous vehicles and techniques that can be utilized to compress point cloud data and operate on compressed point cloud data are provided. An autonomous vehicle can include a data compression system can configure point cloud data according to a collection of three-dimensional (3D) tiles representative of the region. Each 3D tile can include a portion of the cloud point data, where each point vector in the portion of the cloud point data can be configured relative to a position vector of the 3D tile defined in a coordinate system of the collection of 3D tiles. The data compression system can utilize a fixed-point Q-format representation based on a defined number of bits to compress at least a portion of the point cloud data. The autonomous vehicle also can include a control system that can operate mathematically on compressed point cloud data, without reliance on prior decompression.
    Type: Grant
    Filed: October 11, 2018
    Date of Patent: September 8, 2020
    Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventor: Georgios Georgiou
  • Patent number: 10755114
    Abstract: An apparatus comprises a detector and a processor. The processor may be configured to perform a two-stage object detection process utilizing the detector circuit. The detector circuit may be configured to implement a simple detection stage and a complex detection stage. In the simple detection stage, a first type of object detection is applied to each image in a search space and a number of candidates are identified by applying a first non-maximum suppression technique. In the complex detection stage, a second type of object detection is applied to the candidates identified by the simple detection stage.
    Type: Grant
    Filed: April 4, 2019
    Date of Patent: August 25, 2020
    Assignee: Ambarella International LP
    Inventors: Yu Wang, Leslie D. Kohn
  • Patent number: 10755451
    Abstract: Provided is an image processing apparatus including: a data acquiring unit configured to acquire a plurality of pieces of tomographic data, which are obtained by performing optical coherence tomographic imaging of an object to be inspected through use of measuring light a plurality of times; a noise acquiring unit configured to acquire a noise characteristic of the tomographic data; a coefficient determining unit configured to determine a weighting coefficient corresponding to each pixel position in a tomographic image generated from the tomographic data based on the plurality of pieces of tomographic data and the noise characteristic; a changing unit configured to change a value of the tomographic data based on the weighting coefficient; and an image generating unit configured to generate the tomographic image based on the tomographic data that has the value changed.
    Type: Grant
    Filed: June 13, 2018
    Date of Patent: August 25, 2020
    Assignee: Canon Kabushiki Kaisha
    Inventors: Makoto Sato, Yoshihiko Iwase
  • Patent number: 10748037
    Abstract: A machine intelligent communication and control system is able to dynamically predict and adapt information presented to various users. The system provides a personalized experience with its ability to identify users, become contextually aware of the user's location and environment, identify objects and actions, and present customized information tailored for the user and the current environment. The system is further able to control connected items within the environment based upon various user preference considerations.
    Type: Grant
    Filed: January 29, 2019
    Date of Patent: August 18, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Adam Edwin Behringer, Johnny H. Lee, Stephen David Bader, Hsiao-Lan Wang
  • Patent number: 10747998
    Abstract: Aspects of the subject disclosure may include, for example, a method comprising obtaining, by a processing system including a processor, first and second models for a structure of an object, based respectively on ground-level and aerial observations of the object. Model parameters are determined for a three-dimensional (3D) third model of the object based on the first and second models; the determining comprises a transfer learning procedure. Data representing observations of the object is captured at an airborne unmanned aircraft system (UAS) operating at an altitude between that of the ground-level observations and the aerial observations. The method also comprises dynamically adjusting the third model in accordance with the operating altitude of the UAS; updating the adjusted third model in accordance with the data; and determining a 3D representation of the structure of the object, based on the updated adjusted third model. Other embodiments are disclosed.
    Type: Grant
    Filed: January 2, 2019
    Date of Patent: August 18, 2020
    Assignee: AT&T Intellectual Property I, L.P.
    Inventor: Raghuraman Gopalan