Patents by Inventor Manan Goel
Manan Goel has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
-
Publication number: 20240104380Abstract: Methods, systems and apparatuses may provide for technology that trains a neural network by inputting video data to the neural network, determining a boundary loss function for the neural network, and selecting weights for the neural network based at least in part on the boundary loss function, wherein the neural network outputs a pixel-level segmentation of one or more objects depicted in the video data. The technology may also operate the neural network by accepting video data and an initial feature set, conducting a tensor decomposition on the initial feature set to obtain a reduced feature set, and outputting a pixel-level segmentation of object(s) depicted in the video data based at least in part on the reduced feature set.Type: ApplicationFiled: November 29, 2023Publication date: March 28, 2024Inventors: Anthony Rhodes, Manan Goel
-
Publication number: 20240085988Abstract: An athletic performance monitoring system, including a gesture recognition processor configured to execute gesture recognition processes. Interaction with the athletic performance monitoring system may be based, at least in part, on gestures performed by a user, and may offer an alternative to making selections on the athletic performance monitoring system using physical buttons, which may be cumbersome and/or inconvenient to use while performing an athletic activity. Additionally, recognized gestures may be used to select one or more operational modes for the athletic performance monitoring system, such that a reduction in power consumption may be achieved.Type: ApplicationFiled: November 15, 2023Publication date: March 14, 2024Inventors: Manan Goel, Kate Cummings, Peter Laigar, David Switzer, Sebastian Imlay, Michael Lapinsky
-
Patent number: 11928753Abstract: Techniques related to automatically segmenting video frames into per pixel fidelity object of interest and background regions are discussed. Such techniques include applying tessellation to a video frame to generate feature frames corresponding to the video frame and applying a segmentation network implementing context aware skip connections to an input volume including the feature frames and a context feature volume corresponding to the video frame to generate a segmentation for the video frame.Type: GrantFiled: January 27, 2020Date of Patent: March 12, 2024Assignee: Intel CorporationInventors: Anthony Rhodes, Manan Goel
-
Publication number: 20240029193Abstract: Techniques related to automatically segmenting video frames into per pixel fidelity object of interest and background regions are discussed. Such techniques include applying tessellation to a video frame to generate feature frames corresponding to the video frame and applying a segmentation network implementing context aware skip connections to an input volume including the feature frames and a context feature volume corresponding to the video frame to generate a segmentation for the video frame.Type: ApplicationFiled: September 28, 2023Publication date: January 25, 2024Applicant: INTEL CORPORATIONInventors: Anthony Rhodes, Manan Goel
-
Patent number: 11875254Abstract: Methods, systems and apparatuses may provide for technology that trains a neural network by inputting video data to the neural network, determining a boundary loss function for the neural network, and selecting weights for the neural network based at least in part on the boundary loss function, wherein the neural network outputs a pixel-level segmentation of one or more objects depicted in the video data. The technology may also operate the neural network by accepting video data and an initial feature set, conducting a tensor decomposition on the initial feature set to obtain a reduced feature set, and outputting a pixel-level segmentation of object(s) depicted in the video data based at least in part on the reduced feature set.Type: GrantFiled: November 14, 2019Date of Patent: January 16, 2024Assignee: Intel CoprporationInventors: Anthony Rhodes, Manan Goel
-
Publication number: 20240012915Abstract: A method of displaying a cryptographically secured digital collectable on a digital display includes receiving the cryptographically secured digital collectable; receiving an indication from a user to display the cryptographically secured digital collectable on the digital display provided on an article of footwear or apparel; receiving an article identifier from communication circuitry provided on the article of footwear in response to receiving the indication to display the digital collectable on the article of footwear or apparel; transmitting the cryptographically secured digital collectable to the article of footwear or apparel for display on the digital display; and recording or requesting the recordation that the cryptographically secured digital collectable is displayed in connection with the article identifier of the article of footwear or apparel.Type: ApplicationFiled: September 19, 2023Publication date: January 11, 2024Applicant: NIKE, Inc.Inventors: Christopher Andon, Manan Goel, Bobby LeGaye, Randal J. Marsden, Andrew Owenson, Mirza Sabanovic
-
Patent number: 11861073Abstract: An athletic performance monitoring system, including a gesture recognition processor configured to execute gesture recognition processes. Interaction with the athletic performance monitoring system may be based, at least in part, on gestures performed by a user, and may offer an alternative to making selections on the athletic performance monitoring system using physical buttons, which may be cumbersome and/or inconvenient to use while performing an athletic activity. Additionally, recognized gestures may be used to select one or more operational modes for the athletic performance monitoring system, such that a reduction in power consumption may be achieved.Type: GrantFiled: October 26, 2022Date of Patent: January 2, 2024Assignee: NIKE, Inc.Inventors: Manan Goel, Kate Cummings, Peter Laigar, David Switzer, Sebastian Imlay, Michael Lapinsky
-
Publication number: 20230377341Abstract: Techniques related to automatically segmenting a video frame into fine grain object of interest and background regions using a ground truth segmentation of an object in a previous frame are discussed. Such techniques apply multiple levels of segmentation tracking and prediction based on color, shape, and motion of the segmentation to determine per-pixel object probabilities, and solve an energy summation model to generate a final segmentation for the video frame using the object probabilities.Type: ApplicationFiled: August 2, 2023Publication date: November 23, 2023Applicant: Intel CorporationInventors: Anthony Rhodes, Manan Goel
-
Publication number: 20230306603Abstract: Techniques related to automatically segmenting video frames into per pixel dense object of interest and background regions are discussed. Such techniques include applying a segmentation convolutional neural network (CNN) to a CNN input including a current video frame, a previous video frame, an object of interest indicator frame, a motion frame, and multiple feature frames each including features compressed from feature layers of an object classification convolutional neural network as applied to the current video frame to generate candidate segmentations and selecting one of the candidate segmentations as a final segmentation of the current video frame.Type: ApplicationFiled: April 6, 2023Publication date: September 28, 2023Applicant: Intel CorporationInventors: Anthony Rhodes, Manan Goel
-
Patent number: 11763565Abstract: Techniques related to automatically segmenting a video frame into fine grain object of interest and background regions using a ground truth segmentation of an object in a previous frame are discussed. Such techniques apply multiple levels of segmentation tracking and prediction based on color, shape, and motion of the segmentation to determine per-pixel object probabilities, and solve an energy summation model to generate a final segmentation for the video frame using the object probabilities.Type: GrantFiled: November 8, 2019Date of Patent: September 19, 2023Assignee: Intel CorporationInventors: Anthony Rhodes, Manan Goel
-
Patent number: 11734561Abstract: An apparatus, method, system and computer readable medium for video tracking. An exemplar crop is selected to be tracked in an initial frame of a video. Bayesian optimization is applied with each subsequent frame of the video by building a surrogate model of an objective function using Gaussian Process Regression (GPR) based on similarity scores of candidate crops collected from a search space in a current frame of the video. A next candidate crop in the search space is determined using an acquisition function. The next candidate crop is compared to the exemplar crop using a Siamese neural network. Comparisons of new candidate crops to the exemplar crop are made using the Siamese neural network until the exemplar crop has been found in the current frame. The new candidate crops are selected based on an updated surrogate model.Type: GrantFiled: January 10, 2022Date of Patent: August 22, 2023Assignee: Intel CorporationInventors: Anthony Rhodes, Manan Goel
-
Patent number: 11676278Abstract: Techniques related to automatically segmenting video frames into per pixel dense object of interest and background regions are discussed. Such techniques include applying a segmentation convolutional neural network (CNN) to a CNN input including a current video frame, a previous video frame, an object of interest indicator frame, a motion frame, and multiple feature frames each including features compressed from feature layers of an object classification convolutional neural network as applied to the current video frame to generate candidate segmentations and selecting one of the candidate segmentations as a final segmentation of the current video frame.Type: GrantFiled: September 26, 2019Date of Patent: June 13, 2023Assignee: Intel CorporationInventors: Anthony Rhodes, Manan Goel
-
Publication number: 20230048187Abstract: An athletic performance monitoring system, including a gesture recognition processor configured to execute gesture recognition processes. Interaction with the athletic performance monitoring system may be based, at least in part, on gestures performed by a user, and may offer an alternative to making selections on the athletic performance monitoring system using physical buttons, which may be cumbersome and/or inconvenient to use while performing an athletic activity. Additionally, recognized gestures may be used to select one or more operational modes for the athletic performance monitoring system, such that a reduction in power consumption may be achieved.Type: ApplicationFiled: October 26, 2022Publication date: February 16, 2023Inventors: Manan Goel, Kate Richmond, Peter Laigar, David Switzer, Sebastian Imlay, Michael Lapinsky
-
Publication number: 20220397962Abstract: Gesture-controlled virtual reality systems and methods of controlling the same are disclosed herein. An example apparatus includes an on-body sensor to output first signals associated with at least one of movement of a body part of a user or a position of the body part relative to a virtual object and an off-body sensor to output second signals associated with at least one of the movement or the position relative to the virtual object. The apparatus also includes at least one processor to generate gesture data based on at least one of the first or second signals, generate position data based on at least one of the first or second signals, determine an intended action of the user relative to the virtual object based on the position data and the gesture data, and generate an output of the virtual object in response to the intended action.Type: ApplicationFiled: May 26, 2022Publication date: December 15, 2022Inventors: Manan Goel, Saurin Shah, Lakshman Krishnamurthy, Steven Xing, Matthew Pinner, Kevin James Doucette
-
Patent number: 11513610Abstract: An athletic performance monitoring system, including a gesture recognition processor configured to execute gesture recognition processes. Interaction with the athletic performance monitoring system may be based, at least in part, on gestures performed by a user, and may offer an alternative to making selections on the athletic performance monitoring system using physical buttons, which may be cumbersome and/or inconvenient to use while performing an athletic activity. Additionally, recognized gestures may be used to select one or more operational modes for the athletic performance monitoring system, such that a reduction in power consumption may be achieved.Type: GrantFiled: December 29, 2021Date of Patent: November 29, 2022Assignee: NIKE, Inc.Inventors: Manan Goel, Kate Cummings, Peter Laigar, David Switzer, Sebastian Imlay, Michael Lapinsky
-
Patent number: 11347319Abstract: Gesture-controlled virtual reality systems and methods of controlling the same are disclosed herein. An example apparatus includes an on-body sensor to output first signals associated with at least one of movement of a body part of a user or a position of the body part relative to a virtual object and an off-body sensor to output second signals associated with at least one of the movement or the position relative to the virtual object. The apparatus also includes at least one processor to generate gesture data based on at least one of the first or second signals, generate position data based on at least one of the first or second signals, determine an intended action of the user relative to the virtual object based on the position data and the gesture data, and generate an output of the virtual object in response to the intended action.Type: GrantFiled: October 19, 2020Date of Patent: May 31, 2022Assignee: Intel CorporationInventors: Manan Goel, Saurin Shah, Lakshman Krishnamurthy, Steven Xing, Matthew Pinner, Kevin James Doucette
-
Publication number: 20220130130Abstract: An apparatus, method, system and computer readable medium for video tracking. An exemplar crop is selected to be tracked in an initial frame of a video. Bayesian optimization is applied with each subsequent frame of the video by building a surrogate model of an objective function using Gaussian Process Regression (GPR) based on similarity scores of candidate crops collected from a search space in a current frame of the video. A next candidate crop in the search space is determined using an acquisition function. The next candidate crop is compared to the exemplar crop using a Siamese neural network. Comparisons of new candidate crops to the exemplar crop are made using the Siamese neural network until the exemplar crop has been found in the current frame. The new candidate crops are selected based on an updated surrogate model.Type: ApplicationFiled: January 10, 2022Publication date: April 28, 2022Applicant: Intel CorporationInventors: Anthony Rhodes, Manan Goel
-
Publication number: 20220121291Abstract: An athletic performance monitoring system, including a gesture recognition processor configured to execute gesture recognition processes. Interaction with the athletic performance monitoring system may be based, at least in part, on gestures performed by a user, and may offer an alternative to making selections on the athletic performance monitoring system using physical buttons, which may be cumbersome and/or inconvenient to use while performing an athletic activity. Additionally, recognized gestures may be used to select one or more operational modes for the athletic performance monitoring system, such that a reduction in power consumption may be achieved.Type: ApplicationFiled: December 29, 2021Publication date: April 21, 2022Inventors: Manan Goel, Kate Cummings, Peter Laigar, David Switzer, Sebastian Imlay, Michael Lapinsky
-
Patent number: 11243611Abstract: A wrist-worn athletic performance monitoring system, including a gesture recognition processor configured to execute gesture recognition processes. Interaction with the performance monitoring system may be based, at least in part, on gestures performed by the user, and offer an alternative to making selections on the performance monitoring system using physical buttons, which may be cumbersome and/or inconvenient to use while performing an athletic activities. Additionally, recognized gestures may be used to select one or more operational modes for the athletic performance monitoring systems such that a reduction in power consumption may be achieved.Type: GrantFiled: August 7, 2014Date of Patent: February 8, 2022Assignee: NIKE, Inc.Inventors: Manan Goel, Kate Cummings, Peter Laigar, David Switzer, Sebastian Imlay, Michael Lapinsky
-
Patent number: 11227179Abstract: An apparatus, method, system and computer readable medium for video tracking. An exemplar crop is selected to be tracked in an initial frame of a video. Bayesian optimization is applied with each subsequent frame of the video by building a surrogate model of an objective function using Gaussian Process Regression (GPR) based on similarity scores of candidate crops collected from a search space in a current frame of the video. A next candidate crop in the search space is determined using an acquisition function. The next candidate crop is compared to the exemplar crop using a Siamese neural network. Comparisons of new candidate crops to the exemplar crop are made using the Siamese neural network until the exemplar crop has been found in the current frame. The new candidate crops are selected based on an updated surrogate model.Type: GrantFiled: September 27, 2019Date of Patent: January 18, 2022Assignee: Intel CorporationInventors: Anthony Rhodes, Manan Goel