Patents by Inventor Péter L. Venetianer

Péter L. Venetianer 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: 20160140397
    Abstract: A method and system for performing video content analysis based on two-dimensional image data and depth data are disclosed. Video content analysis may be performed on the two-dimensional image data, and then the depth data may be used along with the results of the video content analysis of the two-dimensional data for tracking and event detection.
    Type: Application
    Filed: January 26, 2016
    Publication date: May 19, 2016
    Inventors: Zhong Zhang, Gary W. Myers, Peter L. Venetianer
  • Patent number: 9338409
    Abstract: A home health care monitoring method and system are disclosed. In one embodiment, a method includes: capturing a plurality of video sequences from a plurality of respective cameras disposed in different locations within a patient's home, including capturing two-dimensional image data and depth data for each video sequence; defining a plurality of events to monitor associated with the patient, the events including, during a predetermined time period, at least (1) the patient's body being in a particular position for at least a predetermined amount of time; performing depth-enhanced video content analysis on the plurality of video sequences to determine whether the event (1) has occurred.
    Type: Grant
    Filed: January 17, 2013
    Date of Patent: May 10, 2016
    Assignee: AVIGILON FORTRESS CORPORATION
    Inventors: Zhong Zhang, Gary W. Myers, Peter L. Venetianer
  • Publication number: 20160127699
    Abstract: A content analysis engine receives video input and performs analysis of the video input to produce one or more gross change primitives. A view engine coupled to the content analysis engine receives the one or more gross change primitives from the content analysis engine and provides view identification information. A rules engine coupled to the view engine receives the view identification information from the view engine and provides one or more rules based on the view identification information. An inference engine performs video analysis based on the one or more rules provided by the rules engine and the one or more gross change primitives.
    Type: Application
    Filed: November 25, 2015
    Publication date: May 5, 2016
    Inventors: Weihong Yin, Andrew J. Chosak, John I. W. Clark, Geoffrey Egnal, Matthew F. Frazier, Niels Haering, Alan J. Lipton, Donald G. Madden, Michael C. Mannebach, Gary W. Myers, James S. Sfekas, Peter L. Venetianer, Zhong Zhang
  • Patent number: 9277185
    Abstract: A method of monitoring a point of sale (POS) transaction including: receiving non video data regarding the POS transaction; defining exceptional transaction rules based at least on predetermined non video POS data events; inferring a potentially exceptional transaction based on a corresponding exceptional transaction rule and the received POS non video data; and verifying the inferred potentially exceptional transaction with video data regarding a corresponding POS transaction.
    Type: Grant
    Filed: April 8, 2011
    Date of Patent: March 1, 2016
    Assignee: Avigilon Fortress Corporation
    Inventors: Alan J. Lipton, Péter L. Venetianer, Li Yu, Yongtong Hu, W. Andrew Scanlon, Zhong Zhang, Weihong Yin
  • Publication number: 20160034751
    Abstract: A method and system using face tracking and object tracking is disclosed. The method and system use face tracking, location, and/or recognition to enhance object tracking, and use object tracking and/or location to enhance face tracking.
    Type: Application
    Filed: October 16, 2015
    Publication date: February 4, 2016
    Inventors: Paul C. Brewer, Dana Eubanks, Himaanshu Gupta, W. Andrew Scanlon, Peter L. Venetianer, Weihong Yin, Li Yu, Zhong Zhang
  • Patent number: 9247211
    Abstract: A method and system for performing video content analysis based on two-dimensional image data and depth data are disclosed. Video content analysis may be performed on the two-dimensional image data, and then the depth data may be used along with the results of the video content analysis of the two-dimensional data for tracking and event detection.
    Type: Grant
    Filed: January 17, 2013
    Date of Patent: January 26, 2016
    Assignee: AVIGILON FORTRESS CORPORATION
    Inventors: Zhong Zhang, Gary W. Myers, Peter L. Venetianer
  • Patent number: 9240051
    Abstract: A video camera may overlook a monitored area from any feasible position. An object flow estimation module monitor the moving direction of the objects in the monitored area. It may separate the consistently moving objects from the other objects. A object count estimation module may compute the object density (e.g. crowd). A object density classification module may classify the density into customizable categories.
    Type: Grant
    Filed: November 21, 2006
    Date of Patent: January 19, 2016
    Assignee: Avigilon Fortress Corporation
    Inventors: Haiying Liu, Peter L. Venetianer, Niels Haering, Omar Javed, Alan J. Lipton, Andrew Martone, Zeeshan Rasheed, Weihong Yin, Li Yu, Zhong Zhang
  • Patent number: 9204107
    Abstract: A content analysis engine receives video input and performs analysis of the video input to produce one or more gross change primitives. A view engine coupled to the content analysis engine receives the one or more gross change primitives from the content analysis engine and provides view identification information. A rules engine coupled to the view engine receives the view identification information from the view engine and provides one or more rules based on the view identification information. An inference engine performs video analysis based on the one or more rules provided by the rules engine and the one or more gross change primitives.
    Type: Grant
    Filed: March 15, 2013
    Date of Patent: December 1, 2015
    Assignee: AVIGILON FORTRESS CORPORATION
    Inventors: Weihong Yin, Andrew J. Chosak, John I. W. Clark, Geoffrey Egnal, Matthew F. Frazier, Niels Haering, Alan J. Lipton, Donald G. Madden, Michael C. Mannebach, Gary W. Myers, James S. Sfekas, Péter L. Venetianer, Zhong Zhang
  • Patent number: 9195883
    Abstract: A method and system using face tracking and object tracking is disclosed. The method and system use face tracking, location, and/or recognition to enhance object tracking, and use object tracking and/or location to enhance face tracking.
    Type: Grant
    Filed: March 14, 2013
    Date of Patent: November 24, 2015
    Assignee: Avigilon Fortress Corporation
    Inventors: Paul C. Brewer, Dana Eubanks, Himaanshu Gupta, W. Andrew Scanlon, Peter L. Venetianer, Weihong Yin, Li Yu, Zhong Zhang
  • Patent number: 9185354
    Abstract: A home health care monitoring method and system are disclosed. In one embodiment, a method includes: capturing a plurality of video sequences from a plurality of respective cameras disposed in different locations within a patient's home, including capturing two-dimensional image data and depth data for each video sequence; defining a plurality of events to monitor associated with the patient, the events including, during a predetermined time period, at least (1) the patient's body being in a particular position for at least a predetermined amount of time; performing depth-enhanced video content analysis on the plurality of video sequences to determine whether the event (1) has occurred.
    Type: Grant
    Filed: January 17, 2013
    Date of Patent: November 10, 2015
    Assignee: Avigilon Fortress Corporation
    Inventors: Peter L. Venetianer, Gary W. Myers, Zhong Zhang
  • Patent number: 9158975
    Abstract: A system for video monitoring a retail business process includes a video analytics engine to process video obtained by a video camera and generate video primitives regarding the video, A user interface is used to define at least one activity of interest regarding an area being viewed, each activity of interest identifying at least one of a rule or a query regarding the area being viewed. An activity inference engine processes the generated video primitives based on each defined activity of interest to determine if an activity of interest occurred in the video.
    Type: Grant
    Filed: July 13, 2007
    Date of Patent: October 13, 2015
    Assignee: Avigilon Fortress Corporation
    Inventors: Alan J. Lipton, Peter L. Venetianer, Niels Haering, Paul C. Brewer, Weihong Yin, Zhong Zhang, Li Yu, Yongtong Hu, Gary W. Myers, Andrew J. Chosak, Robert A. Cutting, W. Andrew Scanlon
  • Publication number: 20150287174
    Abstract: A system and method for improving a video characteristic of a video stream is described. According to various implementations of the invention, a changed region between a later-in-time image frame and an earlier-in-time image frame and an unchanged region between such two image frames are determined. A new improvement to the video characteristic is determined and applied to the changed region of the later-in-time image frame. A prior improvement to the video characteristic that was determined for the earlier-in-time image frame is applied to the unchanged region of the later-in-time image frame.
    Type: Application
    Filed: April 4, 2014
    Publication date: October 8, 2015
    Applicant: Digital Signal Corporation
    Inventors: Randall J. St. Romain, II, Ambrose J. Slone, Péter L. Venetianer
  • Publication number: 20150146929
    Abstract: Provided is a computer-implemented method for processing one or more video frames. The meth can include generating, by a processor, a change in value of one or more pixels obtained from the one or more video frames; classifying, by the processor, the change in value of the one or more pixels to produce one or more classes of the change in value of the one or more pixels, wherein the one or more classes include one or more of a stationary target, a moving target, a target insertion, a target removal, or a local change; and constructing, by the processor, a listing of detected targets based on the one or more classes.
    Type: Application
    Filed: January 30, 2015
    Publication date: May 28, 2015
    Inventors: Khurram Hassan-Shafique, Péter L. Venetianer, Li Yu, Haiying Liu
  • Patent number: 9020261
    Abstract: A method for segmenting video data into foreground and background portions utilizes statistical modeling of the pixels. A statistical model of the background is built for each pixel, and each pixel in an incoming video frame is compared with the background statistical model for that pixel. Pixels are determined to be foreground or background based on the comparisons. The method for segmenting video data may be further incorporated into a method for implementing an intelligent video surveillance system. The method for segmenting video data may be implemented in hardware.
    Type: Grant
    Filed: May 3, 2013
    Date of Patent: April 28, 2015
    Assignee: Avigilon Fortress Corporation
    Inventors: Alan J. Lipton, Niels Haering, Zeeshan Rasheed, Omar Javed, Zhong Zhang, Weihong Yin, Peter L. Venetianer, Gary W. Myers
  • Patent number: 8948458
    Abstract: A computer-implemented method for processing one or more video frames may include obtaining one or more video frames; generating one or more blobs using the one or more video frames; classifying the one or more blobs to produce one or more classified blobs, wherein the one or more classified blobs include one or more of a stationary target, a moving target, a target insertion, a target removal, or a local change; and constructing a list of detected targets based on the one or more classified blobs.
    Type: Grant
    Filed: August 2, 2013
    Date of Patent: February 3, 2015
    Assignee: ObjectVideo, Inc
    Inventors: Khurram Hassan-Shafique, Péter L. Venetianer, Li Yu, Haiying Liu
  • Publication number: 20140293048
    Abstract: A video surveillance system is set up, calibrated, tasked, and operated. The system extracts video primitives and extracts even occurrences from the video primitives using event discriminators. The extracted video primitives and event occurrences may be used to create and define additional video analytic rules. The system can undertake a response, such as an alarm, based on extracted event occurrences.
    Type: Application
    Filed: October 21, 2013
    Publication date: October 2, 2014
    Applicant: ObjectVideo, Inc.
    Inventors: Steve Titus, Zhong Zhang, John I. W. Clark, Alan J. Lipton, Kelly Schomburg, Peter L. Venetianer, Li Yu
  • Patent number: 8711217
    Abstract: A video surveillance system is set up, calibrated, tasked, and operated. The system extracts video primitives and extracts event occurrences from the video primitives using event discriminators. The system can undertake a response, such as an alarm, based on extracted event occurrences.
    Type: Grant
    Filed: December 15, 2005
    Date of Patent: April 29, 2014
    Assignee: ObjectVideo, Inc.
    Inventors: Peter L. Venetianer, Alan J. Lipton, Yongtong Hu, Andrew J. Martone, Weihong Yin, Li Yu, Zhong Zhang
  • Publication number: 20130315444
    Abstract: A computer-implemented method for processing one or more video frames may include obtaining one or more video frames; generating one or more blobs using the one or more video frames; classifying the one or more blobs to produce one or more classified blobs, wherein the one or more classified blobs include one or more of a stationary target, a moving target, a target insertion, a target removal, or a local change; and constructing a list of detected targets based on the one or more classified blobs.
    Type: Application
    Filed: August 2, 2013
    Publication date: November 28, 2013
    Applicant: OBJECTVIDEO, INC.
    Inventors: Khurram Hassan-Shafique, Péter L. Venetianer, Li Yu, Haiying Liu
  • Publication number: 20130278764
    Abstract: A content analysis engine receives video input and performs analysis of the video input to produce one or more gross change primitives. A view engine coupled to the content analysis engine receives the one or more gross change primitives from the content analysis engine and provides view identification information. A rules engine coupled to the view engine receives the view identification information from the view engine and provides one or more rules based on the view identification information. An inference engine performs video analysis based on the one or more rules provided by the rules engine and the one or more gross change primitives.
    Type: Application
    Filed: March 15, 2013
    Publication date: October 24, 2013
    Inventors: Weihong Yin, Andrew J. Chosak, John I. W. Clark, Geoffrey Egnal, Matthew F. Frazier, Niels Haering, Alan J. Lipton, Donald G. Madden, Michael C. Mannebach, Gary W. Myers, James S. Sfekas, Péter L. Venetianer, Zhong Zhang
  • Patent number: 8564661
    Abstract: A video surveillance system is set up, calibrated, tasked, and operated. The system extracts video primitives and extracts event occurrences from the video primitives using event discriminators. The extracted video primitives and event occurrences may be used to create and define additional video analytic rules. The system can undertake a response, such as an alarm, based on extracted event occurrences.
    Type: Grant
    Filed: July 26, 2007
    Date of Patent: October 22, 2013
    Assignee: ObjectVideo, Inc.
    Inventors: Alan J. Lipton, John I. W. Clark, Zhong Zhang, Peter L. Venetianer, Thomas Strat, Mark Allmen, William Severson, Niels Haering, Andrew Chosak, Matthew Frazier, James Sfekas, Tasuki Hirata