Patents by Inventor Rogerio S. Feris

Rogerio S. Feris 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).

  • Patent number: 10607089
    Abstract: An approach for re-identifying an object in a test image is presented. Similarity measures between the test image and training images captured by a first camera are determined. The similarity measures are based on Bhattacharyya distances between feature representations of an estimated background region of the test image and feature representations of background regions of the training images. A transformed test image based on the Bhattacharyya distances has a brightness that is different from the test image's brightness and matches a brightness of training images captured by a second camera. An appearance of the transformed test image resembles an appearance of a capture of the test image by the second camera. Another image included in test images captured by the second camera is identified as being closest in appearance to the transformed test image and another object in the identified other image is a re-identification of the object.
    Type: Grant
    Filed: November 26, 2018
    Date of Patent: March 31, 2020
    Assignee: International Business Machines Corporation
    Inventors: Lisa M. Brown, Ankur Datta, Rogerio S. Feris, Sharathchandra U. Pankanti
  • Patent number: 10552687
    Abstract: Methods and system are provided for monitoring a queue. A method includes receiving by sensors a non-visual identifier at predefined locations of a queue. Further, the method includes capturing by image capture devices images of an object possessing the non-visual identifier at the predefined locations of the queue. Further, the method includes visually tracking another object in the queue based on transformations of a predefined feature extracted from the images of the object possessing the non-visual identifier at the predefined locations.
    Type: Grant
    Filed: August 21, 2018
    Date of Patent: February 4, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Ira L. Allen, Russell P. Bobbitt, Rogerio S. Feris, Yun Zhai
  • Publication number: 20200034031
    Abstract: Information relating to at least one of a user and a user environment is acquired. A user cognitive state is determined based on the acquired information. A graphical control element is automatically configured based on the user cognitive state. The graphical control element is automatically presented on a display interface of a user device to control viewing of content displayed on the user device.
    Type: Application
    Filed: October 8, 2019
    Publication date: January 30, 2020
    Inventors: ROGERIO S. FERIS, James R. Kozloski, Clifford A. Pickover, Maja Vukovic
  • Patent number: 10489043
    Abstract: Information relating to at least one of a user and a user environment is acquired. A user cognitive state is determined based on the acquired information. A graphical control element is automatically configured based on the user cognitive state. The graphical control element is automatically presented on a display interface of a user device to control viewing of content displayed on the user device.
    Type: Grant
    Filed: December 15, 2015
    Date of Patent: November 26, 2019
    Assignee: International Business Machines Corporation
    Inventors: Rogerio S. Feris, James R. Kozloski, Clifford A. Pickover, Maja Vukovic
  • Publication number: 20190294702
    Abstract: A search engine is modified to perform increasingly precise image searching using iterative Natural Language (NL) interactions. From an NL search input, the modification extracts a set of input features, which includes a set of response features corresponding to an NL statement in the NL search input and a set of image features from a seed image in the NL search input. The modification performs image analysis on an image result in a result set of a query including at least some of the input features. In a next iteration of NL interactions, at least some of the result set is provided. An NL response in the iteration is added to a cumulative NL basis, and a revised result set is provided, which includes a new image result corresponding to a new response feature extracted from the cumulative NL basis.
    Type: Application
    Filed: March 21, 2018
    Publication date: September 26, 2019
    Applicant: International Business Machines Corporation
    Inventors: Hui Wu, Rogerio S. Feris, Yu Cheng, Xiaoxiao Guo
  • Patent number: 10424342
    Abstract: Techniques for facilitating a video surveillance search of a person are provided. The techniques include maintaining a database of one or more attributes of one or more people captured on one or more video cameras, indexing the one or more attributes in the database extracted from the one or more video cameras, and pruning one or more images captured from the one or more video cameras using the one or more attributes and one or more items of qualifying information to facilitate a video surveillance search of a person.
    Type: Grant
    Filed: July 28, 2010
    Date of Patent: September 24, 2019
    Assignee: International Business Machines Corporation
    Inventors: Lisa M. Brown, Rogerio S. Feris, Arun Hampapur, Daniel A. Vaquero
  • Patent number: 10275608
    Abstract: Techniques are described for video redaction. In one aspect, techniques include receiving a video for redaction; analyzing the video to generate an appearance model for the video, providing a user interface (UI) allowing a user to modify the appearance model, and responsive to a user selecting an object from the appearance model, extending and completing a trajectory of the selected object with enhanced marking based on the user input.
    Type: Grant
    Filed: October 15, 2016
    Date of Patent: April 30, 2019
    Assignee: International Business Machines Corporation
    Inventors: Russell P Bobbitt, Curtis H Brobst, Rogerio S Feris, Yun Zhai
  • Publication number: 20190095719
    Abstract: An approach for re-identifying an object in a test image is presented. Similarity measures between the test image and training images captured by a first camera are determined. The similarity measures are based on Bhattacharyya distances between feature representations of an estimated background region of the test image and feature representations of background regions of the training images. A transformed test image based on the Bhattacharyya distances has a brightness that is different from the test image's brightness and matches a brightness of training images captured by a second camera. An appearance of the transformed test image resembles an appearance of a capture of the test image by the second camera. Another image included in test images captured by the second camera is identified as being closest in appearance to the transformed test image and another object in the identified other image is a re-identification of the object.
    Type: Application
    Filed: November 26, 2018
    Publication date: March 28, 2019
    Inventors: Lisa M. Brown, Ankur Datta, Rogerio S. Feris, Sharathchandra U. Pankanti
  • Patent number: 10169664
    Abstract: An approach for re-identifying an object in a test image is presented. Similarity measures between the test image and training images captured by a first camera are determined. The similarity measures are based on Bhattacharyya distances between feature representations of an estimated background region of the test image and feature representations of background regions of the training images. A transformed test image based on the Bhattacharyya distances has a brightness that is different from the test image's brightness, and matches a brightness of training images captured by a second camera. An appearance of the transformed test image resembles an appearance of a capture of the test image by the second camera. Another image included in test images captured by the second camera is identified as being closest in appearance to the transformed test image and another object in the identified other image is a re-identification of the object.
    Type: Grant
    Filed: March 28, 2017
    Date of Patent: January 1, 2019
    Assignee: International Business Machines Corporation
    Inventors: Lisa M. Brown, Ankur Datta, Rogerio S. Feris, Sharathchandra U. Pankanti
  • Patent number: 10169661
    Abstract: Machine logic that pre-processes and post-processes images for visual object detection by performing the following steps: receiving a set of image(s); filtering the set of image(s) using a set of multimodal integral filter(s), thereby removing at least a portion of the set of image(s) and resulting in a filtered set of image(s); performing object detection on the filtered set of image(s) to generate a set of object-detected image(s); assembling a first plurality of object-detected image(s) from the set of object-detected image(s); and upon assembling the first plurality of object-detected image(s), performing non-maximum suppression on the assembled first plurality of object-detected image(s).
    Type: Grant
    Filed: March 23, 2015
    Date of Patent: January 1, 2019
    Assignee: International Business Machines Corporation
    Inventors: Russell P. Bobbitt, Lisa M. Brown, Rogerio S. Feris, Sharathchandra U. Pankanti, Yun Zhai
  • Patent number: 10163042
    Abstract: An embodiment of the invention provides a method for finding missing persons by learning features for person attribute classification based on deep learning. A first component of a neural network identifies geographic locations of training images; and, a second component of the neural network identifies weather information for each of the identified geographic locations. A third component of the neural network generates image pairs from the training images. For each image pair of the image pairs, the third component of the neural network determines whether images of the image pair include the same person. The neural network generates neural network parameters with the identified geographic locations, the weather information for each of the identified geographic locations, and the determination of whether the images of the image pairs include the same person.
    Type: Grant
    Filed: August 2, 2016
    Date of Patent: December 25, 2018
    Assignee: International Business Machines Corporation
    Inventors: Yu Cheng, Rogerio S. Feris, Clifford A. Pickover, Maja Vukovic, Jing Wang
  • Publication number: 20180357492
    Abstract: Methods and system are provided for monitoring a queue. A method includes receiving by sensors a non-visual identifier at predefined locations of a queue. Further, the method includes capturing by image capture devices images of an object possessing the non-visual identifier at the predefined locations of the queue. Further, the method includes visually tracking another object in the queue based on transformations of a predefined feature extracted from the images of the object possessing the non-visual identifier at the predefined locations.
    Type: Application
    Filed: August 21, 2018
    Publication date: December 13, 2018
    Inventors: Ira L. ALLEN, Russell P. BOBBITT, Rogerio S. FERIS, Yun ZHAI
  • Patent number: 10102431
    Abstract: Methods and system are provided for monitoring a queue. A method includes receiving by sensors a non-visual identifier at predefined locations of a queue. Further, the method includes capturing by image capture devices images of an object possessing the non-visual identifier at the predefined locations of the queue. Further, the method includes visually tracking another object in the queue based on transformations of a predefined feature extracted from the images of the object possessing the non-visual identifier at the predefined locations.
    Type: Grant
    Filed: August 9, 2016
    Date of Patent: October 16, 2018
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Ira L. Allen, Russell P. Bobbitt, Rogerio S. Feris, Yun Zhai
  • Patent number: 10089551
    Abstract: Embodiments are directed to an object detection system having at least one processor circuit configured to receive a series of image regions and apply to each image region in the series a detector, which is configured to determine a presence of a predetermined object in the image region. The object detection system performs a method of selecting and applying the detector from among a plurality of foreground detectors and a plurality of background detectors in a repeated pattern that includes sequentially selecting a selected one of the plurality of foreground detectors; sequentially applying the selected one of the plurality of foreground detectors to one of the series of image regions until all of the plurality of foreground detectors have been applied; selecting a selected one of the plurality of background detectors; and applying the selected one of the plurality of background detectors to one of the series of image regions.
    Type: Grant
    Filed: December 8, 2015
    Date of Patent: October 2, 2018
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Russell P. Bobbitt, Rogerio S. Feris, Chiao-Fe Shu, Yun Zhai
  • Patent number: 10040551
    Abstract: Coffee or other drink, for example a caffeine containing drink, is delivered to individuals that would like the drink, or who have a predetermined cognitive state, using an unmanned aerial vehicle (UAV)/drone. The drink is connected to the UAV, and the UAV flies to an area including people, and uses sensors to scan the people for an individual who has gestured that they would like the drink, or for whom an electronic analysis of sensor data indicates to be in a predetermined cognitive state. The UAV then flies to the individual to deliver the drink. The analysis can include profile data of people, including electronic calendar data, which can be used to determine a potentially predetermined cognitive state.
    Type: Grant
    Filed: December 22, 2015
    Date of Patent: August 7, 2018
    Assignee: International Business Machines Corporation
    Inventors: Thomas David Erickson, Rogerio S. Feris, Clifford A. Pickover, Maja Vukovic
  • Patent number: 10037604
    Abstract: Foreground objects of interest are distinguished from a background model by dividing a region of interest of a video data image into a grid array of individual cells. Each of the cells are labeled as foreground if accumulated edge energy within the cell meets an edge energy threshold, or if color intensities for different colors within each cell differ by a color intensity differential threshold, or as a function of combinations of said determinations.
    Type: Grant
    Filed: June 8, 2016
    Date of Patent: July 31, 2018
    Assignee: International Business Machines Corporation
    Inventors: Ankur Datta, Rogerio S. Feris, Sharathchandra U. Pankanti, Xiaoyu Wang
  • Patent number: 10037607
    Abstract: Image-matching tracks the movements of the objects from initial camera scenes to ending camera scenes in non-overlapping cameras. Paths are defined through scenes for pairings of initial and ending cameras by different respective scene entry and exit points. For each of said camera pairings a combination path having a highest total number of tracked movements relative to all other combinations of one path through the initial and ending camera scene is chosen, and the scene exit point of the selected path through the initial camera and the scene entry point of the selected path into the ending camera define a path connection of the initial camera scene to the ending camera scene.
    Type: Grant
    Filed: January 22, 2016
    Date of Patent: July 31, 2018
    Assignee: International Business Machines Corporation
    Inventors: Lisa M. Brown, Ankur Datta, Rogerio S. Feris, Sharathchandra Pankanti
  • Publication number: 20180107830
    Abstract: Techniques are described for video redaction. In one aspect, techniques include receiving a video for redaction; analyzing the video to generate an appearance model for the video, providing a user interface (UI) allowing a user to modify the appearance model, and responsive to a user selecting an object from the appearance model, extending and completing a trajectory of the selected object with enhanced marking based on the user input.
    Type: Application
    Filed: October 15, 2016
    Publication date: April 19, 2018
    Inventors: Russell P. Bobbitt, Curtis H. Brobst, Rogerio S. Feris, Yun Zhai
  • Patent number: 9946951
    Abstract: Embodiments are directed to an object detection system having at least one processor circuit configured to receive a series of image regions and apply to each image region in the series a detector, which is configured to determine a presence of a predetermined object in the image region. The object detection system performs a method of selecting and applying the detector from among a plurality of foreground detectors and a plurality of background detectors in a repeated pattern that includes sequentially selecting a selected one of the plurality of foreground detectors; sequentially applying the selected one of the plurality of foreground detectors to one of the series of image regions until all of the plurality of foreground detectors have been applied; selecting a selected one of the plurality of background detectors; and applying the selected one of the plurality of background detectors to one of the series of image regions.
    Type: Grant
    Filed: August 12, 2015
    Date of Patent: April 17, 2018
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Russell P. Bobbitt, Rogerio S. Feris, Chiao-Fe Shu, Yun Zhai
  • Publication number: 20180039867
    Abstract: An embodiment of the invention provides a method for finding missing persons by learning features for person attribute classification based on deep learning. A first component of a neural network identifies geographic locations of training images; and, a second component of the neural network identifies weather information for each of the identified geographic locations. A third component of the neural network generates image pairs from the training images. For each image pair of the image pairs, the third component of the neural network determines whether images of the image pair include the same person. The neural network generates neural network parameters with the identified geographic locations, the weather information for each of the identified geographic locations, and the determination of whether the images of the image pairs include the same person.
    Type: Application
    Filed: August 2, 2016
    Publication date: February 8, 2018
    Applicant: International Business Machines Corporation
    Inventors: Yu Cheng, Rogerio S. Feris, Clifford A. Pickover, Maja Vukovic, Jing Wang