Patents Examined by Vikkram Bali
  • Patent number: 11900676
    Abstract: This application discloses a method for detecting a target in a video, performed by a computing device. The method includes applying a target detection operation to a first frame in the video, to determine a first target detection result of the target in the first frame; applying a target tracking operation to a second frame after the first frame in the video, to determine changes of the target between the first frame and the second frame; and determining a second target detection result of the target in the second frame according to the first target detection result and the changes of the target between the first frame and the second frame.
    Type: Grant
    Filed: July 13, 2021
    Date of Patent: February 13, 2024
    Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventor: Zequn Jie
  • Patent number: 11887316
    Abstract: A method for motion recognition and embedding is disclosed. The method may include receiving a plurality of frames of an input video for extracting a feature vector of a motion in the plurality of frames, generating a plurality of sets of one or more motion component bits based on the feature vector and a plurality of classifiers, the plurality of sets corresponding to the plurality of classifiers, each set of one or more motion component bits representing a physical or mechanical attribute of the motion; and generating a motion code for a machine to execute the motion by combining the plurality of sets of one or more motion component bits. Other aspects, embodiments, and features are also claimed and described.
    Type: Grant
    Filed: July 12, 2021
    Date of Patent: January 30, 2024
    Assignee: UNIVERSITY OF SOUTH FLORIDA
    Inventors: Yu Sun, David Andres Paulius, Maxat Alibayev
  • Patent number: 11883222
    Abstract: Various methods and systems are described for obtaining at least one CTA perfusion functional map from Time Resolved Helical CTA (TRH-CTA) image data. At least one processor may be configured to preprocess the TRH-CTA helical image data to generate preprocessed TRH-CTA helical image data; generate time density curve data for a plurality of voxels from the preprocessed TRH-CTA helical image data for an axial imaging slice, where the time density curve data comprise intensity values for different phases of the preprocessed TRH-CTA helical image data arranged sequentially in time; generate at least one perfusion functional map for the axial imaging slice by at least one of: (1) applying at least one mapping function to different phases of the time density curve data corresponding to the axial imaging slice; (2) applying a deconvolution method to the time density curve data; and (3) applying a non-deconvolution method to the time density curve data; and perform spatial filtering on the perfusion functional map.
    Type: Grant
    Filed: January 29, 2020
    Date of Patent: January 30, 2024
    Assignee: Andromeda Medical Imaging Inc.
    Inventors: Christopher d'Esterre, Connor McDougall, Philip Barber
  • Patent number: 11886995
    Abstract: A method for recognizing at least one object in at least one input image. In the method, a template image of the object is processed by a first convolutional neural network (CNN) to form at least one template feature map; the input image is processed by a second CNN to form at least one input feature map; the at least one template feature map is compared to the at least one input feature map; it is evaluated from the result of the comparison whether and possibly at which position the object is contained in the input image, the convolutional neural networks each containing multiple convolutional layers, and at least one of the convolutional layers being at least partially formed from at least two filters, which are convertible into one another by a scaling operation.
    Type: Grant
    Filed: June 28, 2021
    Date of Patent: January 30, 2024
    Assignee: ROBERT BOSCH GMBH
    Inventors: Artem Moskalev, Ivan Sosnovik, Arnold Smeulders, Konrad Groh
  • Patent number: 11875566
    Abstract: Systems and methods are provided for detecting one or more anomalous events in video. Histogram-based noise cleansing, higher-order deep convolutional neural network-based feature extraction, instance segmentation, instance summation, difference calculation, and normalization can be used. Human-in-loop systems and methods can facilitate human decisions for anomaly detection. The decision of an anomaly event can be made by, for example, the instance difference value(s).
    Type: Grant
    Filed: October 10, 2023
    Date of Patent: January 16, 2024
    Assignee: THE FLORIDA INTERNATIONAL UNIVERSITY BOARD OF TRUSTEES
    Inventors: Mohammadhadi Amini, Naphtali D. Rishe, Khandaker Mamun Ahmed
  • Patent number: 11875501
    Abstract: Disclosed are methods and systems that include obtaining at least one image of a dendritic structure, analyzing the at least one image to identify one or more features associated with the dendritic structure, and determining a numerical value associated with the dendritic structure based on the one or more features.
    Type: Grant
    Filed: October 16, 2020
    Date of Patent: January 16, 2024
    Assignee: Arizona Board of Regents on behalf of Arizona State University
    Inventor: Michael N. Kozicki
  • Patent number: 11875284
    Abstract: An asset identification and tracking system includes one or more monitoring units configured to monitor at least one designated area. Each of the monitoring units includes an imaging device and one or more processors. The imaging device is configured to generate image data depicting one or more mobile assets that move through the at least one designated area. The one or more processors are operably coupled to the imaging device and configured to analyze the image data to detect and decipher one or more identifiers that are displayed on a particular mobile asset of the one or more mobile assets that move through the at least one designated area. The one or more processors are further configured to generate a detection message that includes the one or more identifiers for communication to an asset control system.
    Type: Grant
    Filed: January 19, 2021
    Date of Patent: January 16, 2024
    Assignee: TRANSPORTATION IP HOLDINGS, LLC
    Inventors: James D. Brooks, Guangliang Zhao, Weina Ge, Peter Tu, Derek K. Woo, Daniel J. Rush, Adam Franco
  • Patent number: 11876925
    Abstract: An electronic device and a method for controlling the electronic device are provided. The method for controlling the electronic device includes, based on an occurrence of an event for outputting information being determined, obtaining data for determining a context corresponding to the electronic device, inputting the obtained data to a first model trained by an artificial intelligence algorithm and obtaining information about a person located in a vicinity of the electronic device, inputting the obtained information about the person and information about the event to a second model trained by an artificial intelligence algorithm and obtaining output information corresponding to the event, and providing the obtained output information.
    Type: Grant
    Filed: February 4, 2021
    Date of Patent: January 16, 2024
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Sojung Yun, Yehoon Kim, Chanwon Seo
  • Patent number: 11875581
    Abstract: A method for generating a monitoring image. The method includes: providing an image sequence of the surroundings to be monitored with the aid of an imaging system; determining at least one monitoring area and at least one periphery area of at least one image of the image sequence with the aid of a learning-based semantic segmentation method; compressing the monitoring area of the at least one image of the image sequence with a first compression quality; and compressing the periphery area of the at least one image of the image sequence with a second compression quality to generate the compressed monitoring image, the second compression quality being lower than the first compression quality.
    Type: Grant
    Filed: July 8, 2021
    Date of Patent: January 16, 2024
    Assignee: ROBERT BOSCH GMBH
    Inventors: Fabian Brickwedde, Uwe Brosch, Masato Takami, Gregor Blott
  • Patent number: 11861493
    Abstract: Data may be abstracted and/or masked prior to being provided to a machine learning model for training. A machine learning model may provide a confidence level associated with a result. If the confidence level is too high, the machine learning model or an application including the machine learning model may refrain from providing the result as an output. In some examples, the machine learning model may provide a “second best” result that has an acceptable confidence level. In other examples, an error signal may be provided as the output. In accordance with examples of the present disclosure, data may be abstracted and/or masked prior to being provided to a machine learning model for training and confidence levels of results of the trained machine learning model may be used to determine when a result should be withheld.
    Type: Grant
    Filed: April 21, 2020
    Date of Patent: January 2, 2024
    Assignee: Micron Technology, Inc.
    Inventors: Dmitry Vengertsev, Zahra Hosseinimakarem, Jonathan D. Harms
  • Patent number: 11852618
    Abstract: A system and processing methods for configuring and utilizing a convolutional neural network (CNN) for plant disease recognition are disclosed. In some embodiments, the system is programmed to collect photos of infected plants or leaves where regions showing symptoms of infecting diseases are marked. Each photo may have multiple marked regions. Depending on how the symptoms are sized or clustered, one marked region may include only one lesion caused by one disease, while another may include multiple, closely-spaced lesions caused by one disease. The system is programmed to determine anchor boxes having distinct aspect ratios from these marked regions for each convolutional layer of a single shot multibox detector (SSD). For certain types of plants, common diseases lead to relatively many aspect ratios, some having relatively extreme values. The system is programmed to then train the SSD using the marked regions and the anchor boxes and apply the SSD to new photos to identify diseased plants.
    Type: Grant
    Filed: August 26, 2020
    Date of Patent: December 26, 2023
    Assignee: CLIMATE LLC
    Inventors: Yichuan Gui, Wei Guan
  • Patent number: 11846577
    Abstract: Systems and methods are provided for counting particles in a fluid flow. In an aspect, coordinates of particles are obtained from video data of particles in a fluid, the video data made up of a sequence of image frames. The particle positions are linked in each pair of consecutive image frames of the video data. The linked particle positions are used to calculate particle trajectories through sequential image frames of the video data, and the particles are counted based on the particle trajectory. In another aspect, the particle positons within each image frame are transformed to estimated positions within a common coordinate frame. The estimated particle positions of a particle are grouped into a cluster center, and the particle count is calculated based on the cluster centers.
    Type: Grant
    Filed: June 8, 2022
    Date of Patent: December 19, 2023
    Assignee: miDiagnostics NV
    Inventors: Rene Vidal, Benjamin D. Haeffele, Florence Yellin
  • Patent number: 11836221
    Abstract: Systems and methods are directed to a method for estimation of an object state from image data. The method can include obtaining two-dimensional image data depicting an object. The method can include processing, with an estimation portion of a machine-learned object state estimation model, the two-dimensional image data to obtain an initial estimated state of the object. The method can include, for each of one or more refinement iterations, obtaining a previous loss value associated with a previous estimated state for the object, processing the previous loss value to obtain a current estimated state of the object, and evaluating a loss function to determine a loss value associated with the current estimated state of the object. The method can include providing a final estimated state for the object.
    Type: Grant
    Filed: March 12, 2021
    Date of Patent: December 5, 2023
    Assignee: GOOGLE LLC
    Inventors: Cristian Sminchisescu, Andrei Zanfir, Eduard Gabriel Bazavan, Mihai Zanfir, William Tafel Freeman, Rahul Sukthankar
  • Patent number: 11836934
    Abstract: Techniques for distributed object detection and tracking are described. In an example method, a first current frame from a series of frames is sent to a first node, for detection of a first object. After object detection information for the first object is received in return, a second node is selected, and a second current frame is sent to the second node for an updated object detection. In addition, while waiting for the results of the updated object detection, two or more frames following the second current frame are sent to respective tracking nodes. Object modelling information indicating location and/or classification of one or more objects, as derived from the previously received object detection information is also sent to each of the respective tracking nodes. Tracking information for the first object is received from each of the respective tracking nodes.
    Type: Grant
    Filed: December 3, 2018
    Date of Patent: December 5, 2023
    Assignee: Telefonaktiebolaget LM Ericsson (publ)
    Inventors: Athanasios Karapantelakis, Volodya Grancharov, Sigurdur Sverrisson, Maxim Teslenko
  • Patent number: 11830261
    Abstract: A computing system determines accuracy of sport-related information extracted from a time sequence of digital video frames that represent a sport event, the extracted sport-related information including an attribute that changes over the time sequence. The computing system (a) detects, based on the extracted sport-related information, a pattern of change of the attribute over the time sequence and (b) makes a determination of whether the detected pattern is an expected pattern of change associated with the sport event. If the determination is that the detected pattern is the expected pattern, then, responsive to making the determination, the computing system takes a first action that corresponds to the sport-related information being accurate. Whereas, if the determination is that the detected pattern is not the expected pattern, then, responsive to making the determination, the computing system takes a second action that corresponds to the sport-related information being inaccurate.
    Type: Grant
    Filed: June 30, 2021
    Date of Patent: November 28, 2023
    Assignee: Gracenote, Inc.
    Inventors: Jeffrey Scott, Markus Kurt Peter Cremer, Nishit Umesh Parekh, Dewey Ho Lee
  • Patent number: 11816846
    Abstract: An apparatus, method and computer program is described comprising: receiving video data for a scene; determining a movement measurement for at least some of a plurality of subframes of the video data; weighting the movement measurements to generate a plurality of weighted movement measurements, wherein the weighting is dependent on the subframe; and generating a movement indication for the scene from a combination of some or all of the weighted movement measurements.
    Type: Grant
    Filed: December 3, 2019
    Date of Patent: November 14, 2023
    Assignee: NOKIA TECHNOLOGIES OY
    Inventors: Mahendran Subramanian, Aldo Faisal
  • Patent number: 11810307
    Abstract: Described herein are techniques that may be used to facilitate object tracking within a video captured using a portable recording device based on movements associated with that recording device. Such techniques may comprise receiving, from an image capture device, a current image data and an indication of an offset value, determining at least one object to be identified within the image data, determining a previous location of the at least one object within previous image data, and determining, based on the previous location and the offset value, a region within the image data to be attributed to the at least one object, the region comprising less than the current image. The techniques may further comprise determining a location of the at least one object within the region using at least one object recognition technique.
    Type: Grant
    Filed: June 10, 2021
    Date of Patent: November 7, 2023
    Assignees: Getac Technology Corporation, WHP Workflow Solutions, Inc.
    Inventors: Thomas Guzik, Muhammad Adeel
  • Patent number: 11803946
    Abstract: The exemplary embodiments relate to converting Standard Dynamic Range (SDR) content to High Dynamic Range (HDR) content using a machine learning system. In some embodiments, the neural network is trained to convert an input SDR image into an HDR image using the encoded representation of a training SDR image and a training HDR image. In other embodiments, the neural network is trained to convert an input SDR image into an HDR image using a predefined set of color grading actions and the training images.
    Type: Grant
    Filed: September 14, 2020
    Date of Patent: October 31, 2023
    Assignee: Disney Enterprises, Inc.
    Inventors: Tunc Ozan Aydin, Yang Zhang, Blake Sloan, Jeroen Schulte, Michael Maloney
  • Patent number: 11797646
    Abstract: A method for standardizing image annotation includes receiving a defect pattern; marking an image according to the defect pattern to generate a first judgement result; marking the image according to the defect pattern to generate a second judgement result; comparing the first judgement result and the second judgement result to obtain a comparison result; and updating the defect pattern according to the comparison result to standardize the defect pattern. The method for standardizing image annotation of the present specification can improve the marking stability of the training data of a trained image recognition algorithm, thereby improving the accuracy of image recognition of the trained image recognition algorithm.
    Type: Grant
    Filed: March 11, 2021
    Date of Patent: October 24, 2023
    Assignee: WISTRON CORP
    Inventors: Ting-Chieh Lu, Ching Ming Chen, Yun-Yuan Tsai, Shi Xiang Chen, Jia-Hong Zhang
  • Patent number: 11789113
    Abstract: An evaluation device for obtaining a segmentation of an environment from a radar recording of the environment, that has an input interface configured to obtain initial training data, where the initial training data comprise radar data of the radar recording and initial characteristics of objects located in the environment recorded with a radar sensor that generates the radar recordings, and where the evaluation device is configured to forward propagate an artificial neural network with the initial training data to obtain second characteristics of the objects determined with the artificial neural network in the forward propagation, and to obtain weighting factors for neural connections of the artificial neural network through backward propagation of the artificial neural network with the differences between the second characteristics and the initial characteristics, in order to obtain the segmentation of the environment through renewed forward propagation with these radar data.
    Type: Grant
    Filed: March 12, 2019
    Date of Patent: October 17, 2023
    Assignee: ZF Friedrichshafen AG
    Inventors: Benjamin Sick, Michael Walter