Patents by Inventor Michel Goraczko

Michel Goraczko 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: 20240362798
    Abstract: In some examples, systems and methods for multiple-sensor object tracking are provided. For example, a method includes: receiving a first sensor feed and a second sensor feed from a plurality of sensors respectively. The first sensor feed includes a set of first images. The second sensor feed includes a set of second images. In some examples, the method further includes generating an image transformation based on at least one first image in the set of first images and at least one second image in the set of second images, applying the image transformation to the set of second images, aggregating the set of first images and the set of transformed second images to generate a set of aggregated images, and applying a multiple object tracking model to the set of aggregated images to identify a plurality of objects.
    Type: Application
    Filed: April 26, 2024
    Publication date: October 31, 2024
    Inventors: Joseph Adam Driscoll, Aleksandr Patsekin, Ben Radford, Daniel Marasco, Dimitrios Lymperopoulos, Ethan Van Andel, Keun Jae Kim, Mary Cameron, Michel Goraczko, Miles Sackler, Prasanna Srikhanta, Rodney LaLonde, Stephen Ramsey, Tong Shen, Xin Li, Yue Wu, Cameron Derwin
  • Publication number: 20240338830
    Abstract: In some examples, systems and methods for user-assisted object detection are provided. For example, a method includes: receiving a first image frame in a sequence of image frames, performing object tracking using an object tracker to identify a first object of interest and a second object of interest in the first image frame based at least in part on one or more first templates associated with the first object of interest, one or more second templates associated with the second object of interest, and a spatial relationship between the first object of interest and the second object of interest, outputting a first indicator associated with a first image portion corresponding to the identified first object of interest, and outputting a second indicator associated with a second image portion corresponding to the identified second object of interest.
    Type: Application
    Filed: April 3, 2024
    Publication date: October 10, 2024
    Inventors: Aleksandr Patsekin, Ben Radford, Daniel Marasco, Dimitrios Lymperopoulos, Keun Jae Kim, Michel Goraczko, Prasanna Srikhanta, Rodney LaLonde, Tong Shen, Xin Li, Yue Wu, Cameron Derwin, Di Wang
  • Publication number: 20240312027
    Abstract: In some examples, systems and methods for object tracking are provided. For example, a method includes: receiving an image frame in a sequence of image frames; identifying an object of interest in the image frame using a single-object tracker (SOT) based upon one or more templates associated with the object of interest in a template repository; generating a SOT output based on the identified object of interest; and detecting one or more objects in the image frame using a multiple-object tracker (MOT). In some examples, the MOT including a machine-learning model. In some examples, the method further includes conducting a matching between the SOT output and each detected object of the one or more detected objects to generate a match result; and generating a tracker output based at least in part on the SOT output, the one or more detected objects, and the match result.
    Type: Application
    Filed: February 20, 2024
    Publication date: September 19, 2024
    Inventors: Aleksandr Patsekin, Ben Radford, Cameron Derwin, Daniel Marasco, Di Wang, Dimitrios Lymperopoulos, Elliot Kang, Keun Jae Kim, Matthew Betten, Matthew Fedderly, Michel Goraczko, Peng Lei, Prasanna Srikhanta, Rodney LaLonde, Steven Fackler, Tong Shen, Xin Li, Yue Wu
  • Publication number: 20240303831
    Abstract: In some examples, systems and methods for user-assisted object detection are provided. For example, a method includes: receiving a first image frame of a sequence of image frames, performing object detection using an object tracker to identify an object of interest in the first image frame, based upon one or more templates associated with the object of interest in a template repository, outputting a first indicator associated with a first image portion corresponding to the identified object of interest, and receiving a user input associated with the object of interest. In some examples, the user input indicates an identified image portion in the image frame. In some examples, the method further includes generating a retargeted template, based at least in part on the identified image portion, and determining a second image portion associated with the object of interest in a second image frame of the sequence of image frames using the object tracker, based at least in part on the retargeted template.
    Type: Application
    Filed: February 21, 2024
    Publication date: September 12, 2024
    Inventors: Aleksandr Patsekin, Ben Radford, Cameron Derwin, Daniel Marasco, Di Wang, Dimitrios Lymperopoulos, Elliot Kang, Keun Jae Kim, Matthew Betten, Matthew Fedderly, Michel Goraczko, Peng Lei, Prasanna Srikhanta, Rodney LaLonde, Steven Fackler, Tong Shen, Xin Li, Yue Wu
  • Publication number: 20240296671
    Abstract: In some examples, systems and methods for user-assisted object detection are provided. For example, a method includes: receiving an input image, and performing object detection by a software detector to identify a set of detected objects. The software detector includes a machine-learning model. The method further includes outputting one or more indicators of the set of detected objects. Each detected object in the set of detected objects is associated with a confidence level. The method further includes receiving a user input; identifying a template including an image portion associated with the user input; determining a similarity metric between the template and an object in the set of detected objects; modifying a confidence level of the object based at least in part on the determined similarity metric; and generating an output including an indicator of the object based at least in part on the modified confidence level.
    Type: Application
    Filed: February 19, 2024
    Publication date: September 5, 2024
    Inventors: Aleksandr Patsekin, Ben Radford, Cameron Derwin, Daniel Marasco, Di Wang, Dimitrios Lymperopoulos, Keun Jae Kim, Michel Goraczko, Peng Lei, Prasanna Srikhanta, Rodney LaLonde, Tong Shen, Xin Li, Yue Wu
  • Patent number: 11244165
    Abstract: The discussion relates to context-aware environments. One example can include inwardly-facing cameras positioned around a periphery of an environment that defines a volume. The example can also include sensors positioned relative to the volume and configured to communicate with a user device in the volume. The example can also include an ambient perception component configured to track user locations in the volume and to detect user gestures relative to objects in the volume, and responsive to receiving a query from the user's device, to supplement the query with information derived from the objects.
    Type: Grant
    Filed: June 30, 2020
    Date of Patent: February 8, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Abhishek Abhishek, Khawar Zuberi, Jie Liu, Rouzbeh Aminpour, Zhengyou Zhang, Ali Dalloul, Dimitrios Lymberopoulos, Michel Goraczko, Tony Capone, Di Wang, Yi Lu, Yasser B. Asmi
  • Patent number: 10997420
    Abstract: The discussion relates to context-aware environments. One example can include inwardly-facing cameras positioned around a periphery of an environment that defines a volume. The example can also include sensors positioned relative to the volume and configured to communicate with a user device in the volume. The example can also include an ambient perception component configured to track user locations in the volume and to detect user gestures relative to objects in the volume, and responsive to receiving a query from the user's device, to supplement the query with information derived from the objects.
    Type: Grant
    Filed: June 22, 2020
    Date of Patent: May 4, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Abhishek Abhishek, Khawar Zuberi, Jie Liu, Rouzbeh Aminpour, Zhengyou Zhang, Ali Dalloul, Dimitrios Lymberopoulos, Michel Goraczko, Tony Capone, Di Wang, Yi Lu, Yasser B. Asmi
  • Publication number: 20200334462
    Abstract: The discussion relates to context-aware environments. One example can include inwardly-facing cameras positioned around a periphery of an environment that defines a volume. The example can also include sensors positioned relative to the volume and configured to communicate with a user device in the volume. The example can also include an ambient perception component configured to track user locations in the volume and to detect user gestures relative to objects in the volume, and responsive to receiving a query from the user's device, to supplement the query with information derived from the objects.
    Type: Application
    Filed: June 30, 2020
    Publication date: October 22, 2020
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Abhishek ABHISHEK, Khawar ZUBERI, Jie LIU, Rouzbeh AMINPOUR, Zhengyou ZHANG, Ali DALLOUL, Dimitrios LYMBEROPOULOS, Michel GORACZKO, Tony CAPONE, Di WANG, Yi LU, Yasser B. ASMI
  • Publication number: 20200320301
    Abstract: The discussion relates to context-aware environments. One example can include inwardly-facing cameras positioned around a periphery of an environment that defines a volume. The example can also include sensors positioned relative to the volume and configured to communicate with a user device in the volume. The example can also include an ambient perception component configured to track user locations in the volume and to detect user gestures relative to objects in the volume, and responsive to receiving a query from the user's device, to supplement the query with information derived from the objects.
    Type: Application
    Filed: June 22, 2020
    Publication date: October 8, 2020
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Abhishek ABHISHEK, Khawar ZUBERI, Jie LIU, Rouzbeh AMINPOUR, Zhengyou ZHANG, Ali DALLOUL, Dimitrios LYMBEROPOULOS, Michel GORACZKO, Tony CAPONE, Di WANG, Yi LU, Yasser B. ASMI
  • Patent number: 10748002
    Abstract: The discussion relates to context-aware environments. One example can include inwardly-facing cameras positioned around a periphery of an environment that defines a volume. The example can also include sensors positioned relative to the volume and configured to communicate with a user device in the volume. The example can also include an ambient perception component configured to track user locations in the volume and to detect user gestures relative to objects in the volume, and responsive to receiving a query from the user's device, to supplement the query with information derived from the objects.
    Type: Grant
    Filed: April 27, 2018
    Date of Patent: August 18, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Abhishek Abhishek, Khawar Zuberi, Jie Liu, Rouzbeh Aminpour, Zhengyou Zhang, Ali Dalloul, Dimitrios Lymberopoulos, Michel Goraczko, Tony Capone, Di Wang, Yi Lu, Yasser B. Asmi
  • Patent number: 10748001
    Abstract: The discussion relates to context-aware environments. One example can include inwardly-facing cameras positioned around a periphery of an environment that defines a volume. The example can also include sensors positioned relative to the volume and configured to communicate with a user device in the volume. The example can also include an ambient perception component configured to track user locations in the volume and to detect user gestures relative to objects in the volume, and responsive to receiving a query from the user's device, to supplement the query with information derived from the objects.
    Type: Grant
    Filed: April 27, 2018
    Date of Patent: August 18, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Abhishek Abhishek, Khawar Zuberi, Jie Liu, Rouzbeh Aminpour, Zhengyou Zhang, Ali Dalloul, Dimitrios Lymberopoulos, Michel Goraczko, Tony Capone, Di Wang, Yi Lu, Yasser B. Asmi
  • Publication number: 20190332864
    Abstract: The discussion relates to context-aware environments. One example can include inwardly-facing cameras positioned around a periphery of an environment that defines a volume. The example can also include sensors positioned relative to the volume and configured to communicate with a user device in the volume. The example can also include an ambient perception component configured to track user locations in the volume and to detect user gestures relative to objects in the volume, and responsive to receiving a query from the user's device, to supplement the query with information derived from the objects.
    Type: Application
    Filed: April 27, 2018
    Publication date: October 31, 2019
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Abhishek ABHISHEK, Khawar ZUBERI, Jie LIU, Rouzbeh AMINPOUR, Zhengyou ZHANG, Ali DALLOUL, Dimitrios LYMBEROPOULOS, Michel GORACZKO, Tony CAPONE, Di WANG, Yi LU, Yasser B. ASMI
  • Publication number: 20190332863
    Abstract: The discussion relates to context-aware environments. One example can include inwardly-facing cameras positioned around a periphery of an environment that defines a volume. The example can also include sensors positioned relative to the volume and configured to communicate with a user device in the volume. The example can also include an ambient perception component configured to track user locations in the volume and to detect user gestures relative to objects in the volume, and responsive to receiving a query from the user's device, to supplement the query with information derived from the objects.
    Type: Application
    Filed: April 27, 2018
    Publication date: October 31, 2019
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Abhishek ABHISHEK, Khawar ZUBERI, Jie LIU, Rouzbeh AMINPOUR, Zhengyou ZHANG, Ali DALLOUL, Dimitrios LYMBEROPOULOS, Michel GORACZKO, Tony CAPONE, Di WANG, Yi LU, Yasser B. ASMI
  • Publication number: 20190244161
    Abstract: The discussion relates to inventory control. One example can analyze data from sensors to identify items and users in an inventory control environment. The example can detect co-location of an individual user and an individual item at a first location in the inventory control environment at a first time and at a second location in the inventory control environment at a second time.
    Type: Application
    Filed: February 2, 2018
    Publication date: August 8, 2019
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Abhishek ABHISHEK, Rouzbeh AMINPOUR, Yasser B. ASMI, Zhengyou ZHANG, Ali DALLOUL, Jie LIU, Di WANG, Dimitrios LYMBEROPOULOS, Michel GORACZKO, Yi LU, William THOMAS
  • Patent number: 9953355
    Abstract: Identifying products in a physical store shopping environment. The method includes, using a first detection method, identifying that a given product likely belongs to a given set of products. The method further includes, using one or more other detection methods, determining that the product is likely a specific product from the given set of products.
    Type: Grant
    Filed: August 1, 2016
    Date of Patent: April 24, 2018
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Jie Liu, Dimitrios Lymberopoulos, Mohammed Shoaib, Michel Goraczko, Nissanka Arachchige Bodhi Priyantha, Marcel Gavriliu, Suman Kumar Nath, Changhu Wang, Yuxiao Hu, Di Wang, Gerald Reuben DeJean, Lei Zhang
  • Patent number: 9911088
    Abstract: A “Context-Aware Crowdsourced Task Optimizer” provides various processes to optimize task recommendations for workers in mobile crowdsourcing scenarios by automatically identifying and recommending bundles of tasks compatible with workers' contexts (e.g., worker history, present or expected locations, travel paths, working hours, skill sets, capabilities of worker's mobile computing devices, etc.). The Context-Aware Crowdsourced Task Optimizer bundles tasks to both maximize expected numbers of completed tasks and to dynamically price tasks to maximize the system's utility, which is a function of task values and task completion rates. Advantageously, the resulting task identification and recommendation process incentivizes individual workers to perform more tasks in a shorter time period, thereby helping tasks to complete faster, even with smaller budgets.
    Type: Grant
    Filed: May 1, 2014
    Date of Patent: March 6, 2018
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Suman Nath, Michel Goraczko, Jie Liu, Azalia Mirhoseini
  • Publication number: 20180033066
    Abstract: Identifying products in a physical store shopping environment. The method includes, using a first detection method, identifying that a given product likely belongs to a given set of products. The method further includes, using one or more other detection methods, determining that the product is likely a specific product from the given set of products.
    Type: Application
    Filed: August 1, 2016
    Publication date: February 1, 2018
    Inventors: Jie Liu, Dimitrios Lymberopoulos, Mohammed Shoaib, Michel Goraczko, Nissanka Arachchige Bodhi Priyantha, Marcel Gavriliu, Suman Kumar Nath, Changhu Wang, Yuxiao Hu, Di Wang, Gerald Reuben DeJean, Lei Zhang
  • Publication number: 20170372401
    Abstract: Providing product recommendations in a physical retail store. A method includes detecting that the user arrives at the physical retail store. The method further includes, in response, receiving information from a recommendation server for a particular user. The method further includes storing locally, the information from the recommendation server. The method further includes, detecting a plurality of user interactions for the user with products in the retail store as part of the shopping experience and prior to a check-out phase of the shopping experience. The method further includes based on the locally stored information and the user interaction, providing product recommendations.
    Type: Application
    Filed: June 24, 2016
    Publication date: December 28, 2017
    Inventors: Di Wang, Michel Goraczko, Dimitrios Lymberopoulos, Jie Liu, Marcel Gavriliu, Nissanka Arachchige Bodhi Priyantha, Gerald Reuben DeJean, Mohammed Shoaib, Suman Kumar Nath
  • Publication number: 20170372362
    Abstract: Providing discounts to users in a physical store location. The method includes detecting that a user has stopped at a given location in the physical store. The method further includes, based on the location, identifying a set of products. The method further includes, providing an identification of the set of products to an ad server. At the ad server an auction is initiated between different product promoters to identify ads to be provided to the user. The method further includes, receiving from the ad server one or more ads to be provided to the user based on the results of the ad auction. The method further includes, providing the one or more ads to the user.
    Type: Application
    Filed: June 24, 2016
    Publication date: December 28, 2017
    Inventors: Marcel Gavriliu, Jie Liu, Nissanka Arachchige Bodhi Priyantha, Michel Goraczko, Di Wang, Gerald Reuben DeJean, Nagendra V. Kolluru, Murali Nallappa, Vaidyaraman Sambasivam, Manish Agrawal, Srinivasa Reddy Neerudu, Dimitrios Lymberopoulos, Mohammed Shoaib
  • Publication number: 20150317582
    Abstract: A “Context-Aware Crowdsourced Task Optimizer” provides various processes to optimize task recommendations for workers in mobile crowdsourcing scenarios by automatically identifying and recommending bundles of tasks compatible with workers' contexts (e.g., worker history, present or expected locations, travel paths, working hours, skill sets, capabilities of worker's mobile computing devices, etc.). The Context-Aware Crowdsourced Task Optimizer bundles tasks to both maximize expected numbers of completed tasks and to dynamically price tasks to maximize the system's utility, which is a function of task values and task completion rates. Advantageously, the resulting task identification and recommendation process incentivizes individual workers to perform more tasks in a shorter time period, thereby helping tasks to complete faster, even with smaller budgets.
    Type: Application
    Filed: May 1, 2014
    Publication date: November 5, 2015
    Applicant: Microsoft Corporation
    Inventors: Suman Nath, Michel Goraczko, Jie Liu, Azalia Mirhoseini