Patents Examined by Randolph I Chu
  • Patent number: 11908222
    Abstract: The present application relates to an occluded pedestrian re-identification method, including steps of obtaining global features and local features of occluded pedestrians, and recombining the local features into a local feature map; obtaining a heat map of key-points of pedestrian images and a group of key-point confidences, obtaining a group of features of the pedestrian key-points by using the local feature map and the heat map; obtaining a local feature group by using the global features to enhance each key-point feature in the group of features of pedestrian key-points according to Conv, and an adjacency matrix of key-points is obtained through the key-points, the local feature group and the adjacency matrix of key-points are used as the input of GCN to obtain the final features of pedestrian key-points.
    Type: Grant
    Filed: October 17, 2023
    Date of Patent: February 20, 2024
    Assignee: Hangzhou Dianzi University
    Inventors: Ming Jiang, Lingjie He, Min Zhang
  • Patent number: 11900687
    Abstract: A method includes obtaining a fisheye image of a scene and identifying multiple regions of interest in the fisheye image. The method also includes applying one or more transformations to transform and rotate one or more of the regions of interest in the fisheye image to produce one or more transformed regions. The method further includes generating a collage image having at least one portion based on the fisheye image and one or more portions containing the one or more transformed regions. In addition, the method includes performing object detection to identify one or more objects captured in the collage image.
    Type: Grant
    Filed: June 16, 2022
    Date of Patent: February 13, 2024
    Assignee: Canoo Technologies Inc.
    Inventors: Jongmoo Choi, David R. Arft
  • Patent number: 11900434
    Abstract: A system is provided that includes a mobile user device that executes an application that determines a skintone of a user, and determines and transmits a recipe for generating a target foundation that is based on a combination of a plurality of separate foundation ingredients that are associated with the skintone of the user. The system includes a dispensing device configured to receive the transmitted recipe from the mobile user device and dispense each of the plurality of separate foundation ingredients onto a common dispensing surface such that when the dispensed amounts of each of the plurality of separate foundation ingredients is blended on the dispensing surface, the target foundation is achieved. The mobile user device is configured to determine a skintone of the user based on features in a detected face of the user in a self-taken image of the user that is captured by a camera of the mobile user device.
    Type: Grant
    Filed: December 31, 2020
    Date of Patent: February 13, 2024
    Assignee: L'ORÉAL
    Inventors: Gregoire Charraud, Guive Balooch, Aldina Suwanto
  • Patent number: 11893753
    Abstract: A security camera with a motion detection function, which comprises: an image sensor, configured to capture original images; a variation level computation circuit, configured to compute image variation levels of the original images; a long term computation circuit, configured to calculate a first average level for the image variation levels corresponding to M of the original images; a short term computation circuit, configured to calculate a second average level for the image variation levels corresponding to N of the original images, wherein M>N; and a motion determining circuit, configured to determine whether a motion of an object appears in a detection range of the image sensor according to a relation between the first average level and the second average level. By such security camera, the interference caused by noise or small object can be avoided. Accordingly, the motion detection of the security camera can be more accurate.
    Type: Grant
    Filed: July 24, 2020
    Date of Patent: February 6, 2024
    Assignee: PixArt Imaging Inc.
    Inventors: Kevin Len-Li Lim, Joon Chok Lee, Zi Hao Tan, Ching Geak Chan, Keen-Hun Leong
  • Patent number: 11893731
    Abstract: Systems and methods described herein relate, among other things, to unmixing more than three stains, while preserving the biological constraints of the biomarkers. Unlimited numbers of markers may be unmixed from a limited-channel image, such as an RGB image, without adding any mathematical complicity to the model. Known co-localization information of different biomarkers within the same tissue section enables defining fixed upper bounds for the number of stains at one pixel. A group sparsity model may be leveraged to explicitly model the fractions of stain contributions from the co-localized biomarkers into one group to yield a least squares solution within the group. A sparse solution may be obtained among the groups to ensure that only a small number of groups with a total number of stains being less than the upper bound are activated.
    Type: Grant
    Filed: August 2, 2021
    Date of Patent: February 6, 2024
    Assignee: Ventana Medical Systems, Inc.
    Inventors: Srinivas Chukka, Ting Chen
  • Patent number: 11885638
    Abstract: According to one aspect of the invention, there is provided a method for generating a map for a robot, the method comprising the steps of: acquiring a raw map associated with a task of the robot; identifying pixels estimated to be a moving obstacle in the raw map, on the basis of at least one of colors of pixels specified in the raw map and sizes of areas associated with the pixels; and performing dilation and erosion operations on the pixels estimated to be the moving obstacle, and determining a polygon-based contour of the moving obstacle.
    Type: Grant
    Filed: December 28, 2020
    Date of Patent: January 30, 2024
    Assignee: Bear Robotics, Inc.
    Inventors: Yeo Jin Jung, Seongjun Park, Jungju Oh
  • Patent number: 11869274
    Abstract: A method includes receiving a set of video frames that correspond to a video, including a first video frame and a second video frame that each include a face, wherein the second video frame is subsequent to the first video frame. The method further includes performing face tracking on the first video frame to identify a first face resampling keyframe and performing face tracking on the second video frame to identify a second face resampling keyframe. The method further includes deriving an interpolation amount. The method further includes determining a first interpolated face frame based on the first face resampling keyframe and the interpolation amount. The method further includes determining a second interpolated face frame based on the second face resampling keyframe and the interpolation amount. The method further includes rendering an interpolated first face and an interpolated second face. The method further includes displaying a final frame.
    Type: Grant
    Filed: March 29, 2022
    Date of Patent: January 9, 2024
    Assignee: Google LLC
    Inventor: Dillon Cower
  • Patent number: 11861975
    Abstract: A gaming system that receives a frame of image data captured by a camera at a gaming table, generates a set of images from portions of the frame of image data, and determines whether the set of images meets an input requirement of a neural network model. If the set of images does not meet the input requirement, the gaming system modifies, by an incremental amount, an image property of a subset from the set of images until the set of images meets the input requirement. When the set of images meets the input requirement, the gaming system transmits the set of images as a unit (e.g., as a composite of the set of images) to the neural network model for concurrent analysis.
    Type: Grant
    Filed: March 30, 2021
    Date of Patent: January 2, 2024
    Assignee: LNW Gaming, Inc.
    Inventors: Bryan Kelly, Martin S. Lyons
  • Patent number: 11841921
    Abstract: The present application provides a model training method and apparatus, and a prediction method and apparatus, and it relates to fields of artificial intelligence, deep learning, image processing, and autonomous driving. The model training method includes: inputting a first sample image of sample images into a depth information prediction model, and acquiring depth information of the first sample image; acquiring inter-image posture information based on a second sample image of the sample images and the first sample image; acquiring a projection image corresponding to the first sample image, at least according to the inter-image posture information and the depth information; and acquiring a loss function by determining a function for calculating a similarity between the second sample image and the projection image, and training the depth information prediction model using the loss function.
    Type: Grant
    Filed: December 4, 2020
    Date of Patent: December 12, 2023
    Assignee: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
    Inventors: Xibin Song, Dingfu Zhou, Jin Fang, Liangjun Zhang
  • Patent number: 11830214
    Abstract: A method includes obtaining first pass-through image data characterized by a first pose. The method includes obtaining respective pixel characterization vectors for pixels in the first pass-through image data. The method includes identifying a feature of an object within the first pass-through image data in accordance with a determination that pixel characterization vectors for the feature satisfy a feature confidence threshold. The method includes displaying the first pass-through image data and an AR display marker that corresponds to the feature. The method includes obtaining second pass-through image data characterized by a second pose. The method includes transforming the AR display marker to a position associated with the second pose in order to track the feature. The method includes displaying the second pass-through image data and maintaining display of the AR display marker that corresponds to the feature of the object based on the transformation.
    Type: Grant
    Filed: May 29, 2019
    Date of Patent: November 28, 2023
    Assignee: APPLE INC.
    Inventors: Jeffrey S. Norris, Alexandre Da Veiga, Bruno M. Sommer, Ye Cong, Tobias Eble, Moinul Khan, Nicolas Bonnier, Hao Pan
  • Patent number: 11810362
    Abstract: This disclosure describes techniques for updating planogram data associated with a facility. The planogram may indicate inventory locations within the facility for various types of items supported by product fixtures. In particular an image of a product fixture is analyzed to identify image segments corresponding to product groups, where each product group consists of instances of the same product and each image segment corresponds to a group of image points. Image data is further analyzed to determine coordinates of the points of each image segment. A product space corresponding to the product group is then defined based on the coordinates of the points of the product group. In some cases, for example, a product space may be defined in terms of the coordinates of the corners of a rectangular bounding box or volume.
    Type: Grant
    Filed: March 3, 2020
    Date of Patent: November 7, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: Behjat Siddiquie, Jayakrishnan Kumar Eledath, Petko Tsonev, Nishitkumar Ashokkumar Desai, Gerard Guy Medioni, Jean Laurent Guigues, Chuhang Zou, Connor Spencer Blue Worley, Claire Law, Paul Ignatius Dizon Echevarria, Matthew Fletcher Harrison, Pahal Kamlesh Dalal
  • Patent number: 11810383
    Abstract: This disclosure relates generally to method and system for determining label value for labels in unstructured documents. Typical systems have challenge in understanding variations in layout of unstructured documents and extract information therefrom. The disclosed method and system facilitate systematically identifying sections and bounding boxes in the page images, taking image portion of the bounding boxes and extracting labels and label values therefrom. In case the label values are not present in the same bounding box having the label, the neighboring labels are examined for the matching label values. The system also obtains label-label value pairs from the document by utilizing a trained deep learning model, and compares the output with the label-label value pairs extracted earlier. An aggregated confidence score is assigned to the text in the bounding box.
    Type: Grant
    Filed: November 20, 2020
    Date of Patent: November 7, 2023
    Assignee: TATA CONSULTANCY SERVICES LIMITED
    Inventors: Devang Jagdishchandra Patel, Prabhat Ranjan Mishra, Ketkee Pandit, Ankita Gupta, Chirabrata Bhaumik, Dinesh Yadav, Amit Kumar Agrawal
  • Patent number: 11798256
    Abstract: Systems and methods for processing documents based on a cardinal graph convolution network by generating cardinal graph representations representing words as single nodes with edges connected between neighbouring nodes in four cardinal directions. Features tensors are generated for nodes of the cardinal graph representation and the cardinal directions are encoded to generate an adjacency tensor having node neighbour indices. Entries of the adjacency tensor are transformed into a one-hot encoding of the node neighbour indices. Neighbourhood feature tensors are created over node indices and the features in each block may be scaled, convolved and reduced into new feature tensors.
    Type: Grant
    Filed: December 27, 2021
    Date of Patent: October 24, 2023
    Inventors: Rinon Gal, Roy Shilkrot, Amos Simantov
  • Patent number: 11790533
    Abstract: Improving the accuracy of predicted segmentation masks, including: extracting a ground-truth RGB image buffer and a binary contour image buffer from a ground-truth RGB image container for segmentation training; generating predicted segmentation masks from the ground-truth RGB image buffer; generating second binary contours from the predicted segmentation masks using a particular algorithm; computing a segmentation loss between manually-segmented masks of the ground-truth RGB image buffer and the predicted segmentation masks; computing a contour accuracy loss between contours of the binary contour image buffer and the binary contours of the predicted segmentation masks; computing a total loss as a weighted average of the segmentation loss and the contour accuracy loss; and generating improved binary contours by compensating the contours of the binary contour image buffer with the computed total loss, wherein the improved binary contours are used to improve the accuracy of the predicted segmentation masks.
    Type: Grant
    Filed: February 18, 2021
    Date of Patent: October 17, 2023
    Assignees: Sony Group Corporation, Sony Pictures Entertainment Inc.
    Inventors: Mengyu Chen, Miaoqi Zhu, Yoshikazu Takashima, Ouyang Chao, Daniel De La Rosa, Michael Lafuente, Stephen Shapiro
  • Patent number: 11790518
    Abstract: Current inspection processes employed for pipeline networks data acquisition aided with manually locating and recording defects/observations, thus leading labor intensive, prone to error and a time-consuming task thereby resulting in process inefficiencies. Embodiments of the present disclosure provide systems and methods for that leverage artificial intelligence/machine learning models and image processing techniques to automate log and data processing, reports and insights generation thereby reduce dependency on manual analysis, improve annual productivity of survey meterage and bring in process and cost efficiencies into overall asset health management for utilities, thereby enhancing accuracy in defect identification, analysis, classification thereof.
    Type: Grant
    Filed: June 24, 2021
    Date of Patent: October 17, 2023
    Assignee: Tata Consultancy Services Limited
    Inventors: Jayavardhana Rama Gubbi Lakshminarasimha, Mahesh Rangarajan, Rishin Raj, Vishnu Hariharan Anand, Vishal Bajpai, Vishwa Chethan Dandenahalli Venkatappa, Pradeep Kumar Mishra, Gourav Singh Jat, Meghala Mani, Gangadhar Shankarappa, Dinesh Sasidharan Nair, Shashank Lipate, Vineet Lall, Kavita Sara Mathew, Karthik Seemakurthy, Balamuralidhar Purushothaman
  • Patent number: 11783452
    Abstract: Aspects of the present disclosure describe distributed fiber optic sensing (DFOS) systems, methods, and structures that advantageously provide traffic monitoring, and traffic management which improves the safety and efficiency of a roadway.
    Type: Grant
    Filed: April 4, 2021
    Date of Patent: October 10, 2023
    Inventors: Philip Ji, Eric Cosatto, Ting Wang
  • Patent number: 11769387
    Abstract: A method, system and computer program product, the method comprising: obtaining a multiplicity of images taken by one or more overhead capture devices overlooking a body of water having a surface; detecting a person depicted in at least some images from the multiplicity of images; determining for images in the images, whether the image depicts the person in substantially vertical position in the at least some images said determining performed upon one or more characteristics extracted from each image; and subject to determining that the person is not in substantially vertical position in the at least some images, taking an action.
    Type: Grant
    Filed: April 14, 2019
    Date of Patent: September 26, 2023
    Assignee: LYNXIGHT LTD.
    Inventors: Omer Bar-Ilan, Roee Mor
  • Patent number: 11748654
    Abstract: A data analysis computer system is provided that receives a timeseries dataset and generates implied data from the dataset. The dataset is further vectorized to reduce the dimensionality of the data. Users provide input to identify windows of data that either positively or negatively correlate to instances of a given type of occurrence within the data. The user defined windows are converted to fixed sized windows and a machine learning algorithm constructs a model from the data. The model is used to predict instances of the given type of occurrence in newly received data. Validation of the predications may be performed.
    Type: Grant
    Filed: June 25, 2019
    Date of Patent: September 5, 2023
    Assignee: NASDAQ, INC.
    Inventor: Andrew Franklin
  • Patent number: 11727693
    Abstract: There is provided a method for detecting a lane marking using a processor including acquiring a drive image captured by an image capturing device of a vehicle which is running, detecting an edge corresponding to a lane marking from the acquired drive image and generating an edge image based on the detected edge, detecting a linear component based on the detected edge and generating a linearly processed edge image based on the detected linear component, detecting a lane marking point corresponding to the lane marking using the generated edge image and the linearly processed edge image, and detecting the lane marking based on the detected lane marking point.
    Type: Grant
    Filed: April 5, 2021
    Date of Patent: August 15, 2023
    Assignee: THINKWARE CORPORATION
    Inventor: Shin Hyoung Kim
  • Patent number: 11721086
    Abstract: An image processing system includes a memory storing a training image set and a reference image set, and a processor including hardware. The processor is configured to: generate an augmented image set by applying data augmentation to images included in the training image set; and determine an augmentation parameter based on a similarity between an augmentation feature statistic and a reference feature statistic, the augmentation feature statistic being a statistic of a feature of a recognition target calculated based on the augmented image set, the reference feature statistic being a statistic of a feature of the recognition target calculated based on the reference image set.
    Type: Grant
    Filed: February 12, 2021
    Date of Patent: August 8, 2023
    Assignee: OLYMPUS CORPORATION
    Inventor: Jun Ando