Patents by Inventor Amer Ghazi Abdullah Binsaadoon

Amer Ghazi Abdullah Binsaadoon 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: 11138417
    Abstract: Methods, systems, and computer readable media for methods, computer readable media, and systems for automatic gender recognition including a phase quantization feature extraction method for automatic gender recognition in smart environments are described.
    Type: Grant
    Filed: April 24, 2019
    Date of Patent: October 5, 2021
    Assignee: King Fahd University of Petroleum and Minerals
    Inventors: Amer Ghazi Abdullah Binsaadoon, El-Sayed M. El-Alfy
  • Patent number: 10853633
    Abstract: Described is a novel method for feature extraction for automatic gait recognition. This method uses Multi-kernel Fuzzy-based Local Gabor Binary Pattern. From a captured gait video sequence, the gait period is determined then a gait energy image is constructed to represent the spatial-temporal variations during one motion cycle of the gait sequence. Then, each gait sequence is represented with a feature vector. The computation of this vector is conducted by first applying the 2D Gabor filter bank then encoding the variations in the Gabor magnitude using a multi-kernel fuzzy local binary pattern operator. Finally, gait classification is performed using a support vector machine.
    Type: Grant
    Filed: August 16, 2019
    Date of Patent: December 1, 2020
    Assignee: King Fahd University of Petroleum and Minerals
    Inventors: Amer Ghazi Abdullah Binsaadoon, El-Sayed M. El-Alfy
  • Publication number: 20200342216
    Abstract: Methods, systems, and computer readable media for methods, computer readable media, and systems for automatic gender recognition including a phase quantization feature extraction method for automatic gender recognition in smart environments are described.
    Type: Application
    Filed: April 24, 2019
    Publication date: October 29, 2020
    Applicant: King Fahd University of Petroleum and Minerals
    Inventors: Amer Ghazi Abdullah Binsaadoon, El-Sayed M. El-Alfy
  • Patent number: 10552671
    Abstract: Described is a novel method for feature extraction for automatic gait recognition. This method uses Multi-kernel Fuzzy-based Local Gabor Binary Pattern. From a captured gait video sequence, the gait period is determined then a gait energy image is constructed to represent the spatial-temporal variations during one motion cycle of the gait sequence. Then, each gait sequence is represented with a feature vector. The computation of this vector is conducted by first applying the 2D Gabor filter bank then encoding the variations in the Gabor magnitude using a multi-kernel fuzzy local binary pattern operator. Finally, gait classification is performed using a support vector machine.
    Type: Grant
    Filed: November 22, 2017
    Date of Patent: February 4, 2020
    Assignee: King Fahd University of Petroleum and Minerals
    Inventors: Amer Ghazi Abdullah Binsaadoon, El-Sayed M. El-Alfy
  • Patent number: 10540544
    Abstract: Described is a novel method for feature extraction for automatic gait recognition. This method uses Multi-kernel Fuzzy-based Local Gabor Binary Pattern. From a captured gait video sequence, the gait period is determined then a gait energy image is constructed to represent the spatial-temporal variations during one motion cycle of the gait sequence. Then, each gait sequence is represented with a feature vector. The computation of this vector is conducted by first applying the 2D Gabor filter bank then encoding the variations in the Gabor magnitude using a multi-kernel fuzzy local binary pattern operator. Finally, gait classification is performed using a support vector machine.
    Type: Grant
    Filed: August 16, 2019
    Date of Patent: January 21, 2020
    Assignee: King Fahd University of Petroleum and Minerals
    Inventors: Amer Ghazi Abdullah Binsaadoon, El-Sayed M. El-Alfy
  • Publication number: 20190370536
    Abstract: Described is a novel method for feature extraction for automatic gait recognition. This method uses Multi-kernel Fuzzy-based Local Gabor Binary Pattern. From a captured gait video sequence, the gait period is determined then a gait energy image is constructed to represent the spatial-temporal variations during one motion cycle of the gait sequence. Then, each gait sequence is represented with a feature vector. The computation of this vector is conducted by first applying the 2D Gabor filter bank then encoding the variations in the Gabor magnitude using a multi-kernel fuzzy local binary pattern operator. Finally, gait classification is performed using a support vector machine.
    Type: Application
    Filed: August 16, 2019
    Publication date: December 5, 2019
    Applicant: KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS
    Inventors: Amer Ghazi Abdullah Binsaadoon, El-Sayed M. El-Alfy
  • Publication number: 20190370535
    Abstract: Described is a novel method for feature extraction for automatic gait recognition. This method uses Multi-kernel Fuzzy-based Local Gabor Binary Pattern. From a captured gait video sequence, the gait period is determined then a gait energy image is constructed to represent the spatial-temporal variations during one motion cycle of the gait sequence. Then, each gait sequence is represented with a feature vector. The computation of this vector is conducted by first applying the 2D Gabor filter bank then encoding the variations in the Gabor magnitude using a multi-kernel fuzzy local binary pattern operator. Finally, gait classification is performed using a support vector machine.
    Type: Application
    Filed: August 16, 2019
    Publication date: December 5, 2019
    Applicant: KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS
    Inventors: Amer Ghazi Abdullah BINSAADOON, El-Sayed M. EL-ALFY
  • Publication number: 20190156113
    Abstract: Described is a novel method for feature extraction for automatic gait recognition. This method uses Multi-kernel Fuzzy-based Local Gabor Binary Pattern. From a captured gait video sequence, the gait period is determined then a gait energy image is constructed to represent the spatial-temporal variations during one motion cycle of the gait sequence. Then, each gait sequence is represented with a feature vector. The computation of this vector is conducted by first applying the 2D Gabor filter bank then encoding the variations in the Gabor magnitude using a multi-kernel fuzzy local binary pattern operator. Finally, gait classification is performed using a support vector machine.
    Type: Application
    Filed: November 22, 2017
    Publication date: May 23, 2019
    Applicant: King Fahd University of Petroleum and Minerals
    Inventors: Amer Ghazi Abdullah BINSAADOON, El-Sayed M. El-Alfy
  • Patent number: 10140506
    Abstract: Described herein is an apparatus and method for gait recognition. The apparatus includes circuitry that is configured to receive a gait sequence including a predetermined number of image frames of a subject. The received gait sequence is processed to generate a gait-energy-image (GEI). A plurality of Gabor filter responses is computed by convoluting the generated GEI with a bank of Gabor filters, wherein the filter bank includes a first predetermined number of unique scales, and a second predetermined number of unique orientations. Further, the circuitry is configured to partition, each Gabor filter response of the computed plurality of Gabor filter responses, into a predetermined number of overlapping regions and extract, a predetermined number of statistical features only from the overlapping regions, the extracted statistical features corresponding to texture content of the subject. The circuitry eventually recognizes the subject based on a classification of the extracted statistical features.
    Type: Grant
    Filed: June 14, 2018
    Date of Patent: November 27, 2018
    Assignee: King Fahd University of Petroleum and Minerals
    Inventors: Amer Ghazi Abdullah Binsaadoon, El-Sayed M. El-Alfy
  • Patent number: 10115006
    Abstract: Described herein is an apparatus and method for gait recognition. The apparatus includes circuitry that is configured to receive a gait sequence including a predetermined number of image frames of a subject. The received gait sequence is processed to generate a gait-energy-image (GEI). A plurality of Gabor filter responses is computed by convoluting the generated GEI with a bank of Gabor filters, wherein the filter bank includes a first predetermined number of unique scales, and a second predetermined number of unique orientations. Further, the circuitry is configured to partition, each Gabor filter response of the computed plurality of Gabor filter responses, into a predetermined number of overlapping regions and extract, a predetermined number of statistical features only from the overlapping regions, the extracted statistical features corresponding to texture consent of the subject. The circuitry eventually recognizes the subject based on a classification of the extracted statistical features.
    Type: Grant
    Filed: June 14, 2018
    Date of Patent: October 30, 2018
    Assignee: King Fahd University of Petroleum and Minerals
    Inventors: Amer Ghazi Abdullah Binsaadoon, El-Sayed M. El-Alfy
  • Publication number: 20180293431
    Abstract: Described herein is an apparatus and method for gait recognition. The apparatus includes circuitry that is configured to receive a gait sequence including a predetermined number of image frames of a subject. The received gait sequence is processed to generate a gait-energy-image (GEI). A plurality of Gabor filter responses is computed by convoluting the generated GEI with a bank of Gabor filters, wherein the filter bank includes a first predetermined number of unique scales, and a second predetermined number of unique orientations. Further, the circuitry is configured to partition, each Gabor filter response of the computed plurality of Gabor filter responses, into a predetermined number of overlapping regions and extract, a predetermined number of statistical features only from the overlapping regions, the extracted statistical features corresponding to texture content of the subject. The circuitry eventually recognizes the subject based on a classification of the extracted statistical features.
    Type: Application
    Filed: June 14, 2018
    Publication date: October 11, 2018
    Applicant: King Fahd University of Petroleum and Minerals
    Inventors: Amer Ghazi Abdullah BINSAADOON, El-Sayed M. EL-ALFY
  • Publication number: 20180293432
    Abstract: Described herein is an apparatus and method for gait recognition. The apparatus includes circuitry that is configured to receive a gait sequence including a predetermined number of image frames of a subject. The received gait sequence is processed to generate a gait-energy-image (GEI). A plurality of Gabor filter responses is computed by convoluting the generated GEI with a bank of Gabor filters, wherein the filter bank includes a first predetermined number of unique scales, and a second predetermined number of unique orientations. Further, the circuitry is configured to partition, each Gabor filter response of the computed plurality of Gabor filter responses, into a predetermined number of overlapping regions and extract, a predetermined number of statistical features only from the overlapping regions, the extracted statistical features corresponding to texture consent of the subject. The circuitry eventually recognizes the subject based on a classification of the extracted statistical features.
    Type: Application
    Filed: June 14, 2018
    Publication date: October 11, 2018
    Applicant: King Fahd University of Petroleum and Minerals
    Inventors: Amer Ghazi Abdullah BINSAADOON, El-Sayed M. El-Alfy
  • Patent number: 10032070
    Abstract: Described herein is an apparatus and method for gait recognition. The apparatus includes circuitry that is configured to receive a gait sequence including a predetermined number of image frames of a subject. The received gait sequence is processed to generate a gait-energy-image (GEI). A plurality of Gabor filter responses is computed by convoluting the generated GEI with a bank of Gabor filters, wherein the filter bank includes a first predetermined number of unique scales, and a second predetermined number of unique orientations. Further, the circuitry is configured to partition, each Gabor filter response of the computed plurality of Gabor filter responses, into a predetermined number of overlapping regions and extract, a predetermined number of statistical features only from the overlapping regions, the extracted statistical features corresponding to texture content of the subject. The circuitry eventually recognizes the subject based on a classification of the extracted statistical features.
    Type: Grant
    Filed: February 23, 2018
    Date of Patent: July 24, 2018
    Assignee: King Fahd University of Petroleum and Minerals
    Inventors: Amer Ghazi Abdullah Binsaadoon, El-Sayed M. El-Alfy
  • Patent number: 9984284
    Abstract: Described herein is an apparatus and method for gait recognition. The apparatus includes circuitry that is configured to receive a gait sequence including a predetermined number of image frames of a subject. The received gait sequence is processed to generate a gait-energy-image (GEI). A plurality of Gabor filter responses is computed by convoluting the generated GEI with a bank of Gabor filters, wherein the filter bank includes a first predetermined number of unique scales, and a second predetermined number of unique orientations. Further, the circuitry is configured to partition, each Gabor filter response of the computed plurality of Gabor filter responses, into a predetermined number of overlapping regions and extract, a predetermined number of statistical features only from the overlapping regions, the extracted statistical features corresponding to texture content of the subject. The circuitry eventually recognizes the subject based on a classification of the extracted statistical features.
    Type: Grant
    Filed: September 19, 2016
    Date of Patent: May 29, 2018
    Assignee: King Fahd University of Petroleum and Minerals
    Inventors: Amer Ghazi Abdullah Binsaadoon, El-Sayed M. El-Alfy
  • Publication number: 20180082113
    Abstract: Described herein is an apparatus and method for gait recognition. The apparatus includes circuitry that is configured to receive a gait sequence including a predetermined number of image frames of a subject. The received gait sequence is processed to generate a gait-energy-image (GEI). A plurality of Gabor filter responses is computed by convoluting the generated GEI with a bank of Gabor filters, wherein the filter bank includes a first predetermined number of unique scales, and a second predetermined number of unique orientations. Further, the circuitry is configured to partition, each Gabor filter response of the computed plurality of Gabor filter responses, into a predetermined number of overlapping regions and extract, a predetermined number of statistical features only from the overlapping regions, the extracted statistical features corresponding to texture content of the subject. The circuitry eventually recognizes the subject based on a classification of the extracted statistical features.
    Type: Application
    Filed: September 19, 2016
    Publication date: March 22, 2018
    Applicant: KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS
    Inventors: Amer Ghazi Abdullah Binsaadoon, El-Sayed M. El-Alfy