Patents Assigned to ObjectVideo, Inc.
  • Publication number: 20160155003
    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: Application
    Filed: March 10, 2014
    Publication date: June 2, 2016
    Applicant: ObjectVideo, Inc.
    Inventors: Peter L. Venetianer, Alan J. Lipton, Yongtong Hu, Andrew J. Martone, Weihong Yin, Li Yu, Zhong Zhang
  • 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: 20140324864
    Abstract: Relational graphs may be used to extract information. Similarities between the relational graphs and the items they represent may be determined. For example, when applied to video searching, relational graphs may be obtained from searching videos to extract objects, events and/or relations therebetween. Each relational graph may comprise a plurality of nodes and edges, wherein at least some of the detected objects and events are represented by each node, and wherein each edge and represents a relationship between two nodes. Subgraphs may be extracted from each relational graph and dimension reduction may be performed on the subgraphs to obtain a reduced variable set which may then be used to perform searches, such as similarity analyses of videos.
    Type: Application
    Filed: April 14, 2014
    Publication date: October 30, 2014
    Applicant: ObjectVideo, Inc.
    Inventors: Tae Eun Choe, Hongli Deng, Mun Wai Lee, Feng Guo
  • 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: 8848053
    Abstract: The automatic generation (702) of one or more secondary video streams based on an input primary video stream (701) may use analytics performed on the video to provide information on targets, events, and/or areas of interest to permit the one or more secondary video streams (703) to concentrate on one or more targets, events, and/or areas of interest.
    Type: Grant
    Filed: March 27, 2007
    Date of Patent: September 30, 2014
    Assignee: ObjectVideo, Inc.
    Inventors: W. Andrew Scanlon, Andrew J. Chosak, John I. W. Clark, Robert A. Cutting, Alan J. Lipton, Gary W. Myers
  • Patent number: 8823804
    Abstract: A system for detecting behavior of a target may include: a target detection engine, adapted to detect at least one target from one or more objects from a video surveillance system recording a scene; a path builder, adapted to create at least one mature path model from analysis of the behavior of a plurality of targets in the scene, wherein the at least one mature path model includes a model of expected target behavior with respect to the at least one path model; and a target behavior analyzer, adapted to analyze and identify target behavior with respect to the at least one mature path model. The system may further include an alert generator, adapted to generate an alert based on the identified behavior.
    Type: Grant
    Filed: January 19, 2012
    Date of Patent: September 2, 2014
    Assignee: ObjectVideo, Inc.
    Inventors: Niels Haering, Zeeshan Rasheed, Li Yu, Andrew J. Chosak
  • 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: 20140072170
    Abstract: Methods, devices and systems for performing video content analysis to detect humans or other objects of interest a video image is disclosed. The detection of humans may be used to count a number of humans, to determine a location of each human and/or perform crowd analyses of monitored areas.
    Type: Application
    Filed: March 15, 2013
    Publication date: March 13, 2014
    Applicant: OBJECTVIDEO, INC.
    Inventors: Zhong Zhang, Weihong Yin, Peter Venetianer
  • 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
  • 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
  • Publication number: 20130266181
    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: March 14, 2013
    Publication date: October 10, 2013
    Applicant: OBJECTVIDEO, INC.
    Inventors: Paul C. Brewer, Dana Eubanks, Himaanshu Gupta, W. Andrew Scanlon, Peter L. Venetianer, Weihong Yin, Li Yu, Zhong Zhang
  • Publication number: 20130250050
    Abstract: A video surveillance system, device and methods may accurately model the shape of a human object monitored by a video stream. 3D human models, such as a coarse 3D human model and a detailed 3D human model may be estimated by mapping individual body part components to a frame. For example, a coarse 3D human model may be obtained by mapping the cylindrical body parts to a plurality of skeleton pose estimates on a part by part basis. A detailed 3D human model may be estimated by mapping detailed human body parts to respective the cylindrical body parts of the coarse 3D human model on a part by part basis. The detailed 3D human model may be used to detect accessories of the human object being monitored, as well as overall dimensions, body part dimensions, age, and gender of the human object being monitored.
    Type: Application
    Filed: March 15, 2013
    Publication date: September 26, 2013
    Applicant: OBJECTVIDEO, INC.
    Inventors: Atul Kanaujia, Niels Haering, Mun Wai Lee
  • Publication number: 20130242095
    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: Application
    Filed: May 3, 2013
    Publication date: September 19, 2013
    Applicant: OBJECTVIDEO, INC.
    Inventors: Alan J. Lipton, Niels Haering, Zeeshan Rasheed, Omar Javed, Zhong Zhang, Weihong Yin, Peter L. Venetianer, Gary W. Myers
  • Patent number: 8526678
    Abstract: One or more video frames may be obtained, and a background model may be constructed based on a first parameter. A second background model may be constructed using the one or more video frames based on a second parameter, the second parameter being different from the first parameter. A difference between the first and second background models may be determined. One or more stationary targets may be determined based on the determined difference. The one or more stationary targets may be classified. An alert concerning the one or more classified stationary targets may be generated.
    Type: Grant
    Filed: February 19, 2013
    Date of Patent: September 3, 2013
    Assignee: ObjectVideo, Inc.
    Inventors: Haiying Liu, Li Yu, Khurram Hassan-Shafique, Péter L. Venetianer
  • Patent number: 8497906
    Abstract: A method of video processing may include analyzing input video information to determine if a current video frame is directed to a same view as a previous video frame; determining whether a new view is present; and indicating a need to use video processing information pertaining to the new view if a new view is determined to be present.
    Type: Grant
    Filed: May 17, 2010
    Date of Patent: July 30, 2013
    Assignee: ObjectVideo, Inc.
    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
  • Publication number: 20130188833
    Abstract: One or more video frames may be obtained, and a background model may be constructed based on a first parameter. A second background model may be constructed using the one or more video frames based on a second parameter, the second parameter being different from the first parameter. A difference between the first and second background models may be determined. One or more stationary targets may be determined based on the determined difference. The one or more stationary targets may be classified. An alert concerning the one or more classified stationary targets may be generated.
    Type: Application
    Filed: February 19, 2013
    Publication date: July 25, 2013
    Applicant: ObjectVideo, Inc.
    Inventor: ObjectVideo, Inc.
  • Publication number: 20130182114
    Abstract: A method and system for monitoring a retail environment by performing video content analysis based on two-dimensional image data and depth data are disclosed. Accuracy in customer actions to provide assistance, change marketing behavior, safety and theft, for example, is increase by analyzing video containing two-dimensional image data and associated depth data. Height data may be obtained from depth data to assist in object detection, object classification (e.g., detection a customer or inventory) and/or event detection.
    Type: Application
    Filed: January 17, 2013
    Publication date: July 18, 2013
    Applicant: ObjectVideo, Inc.
    Inventor: ObjectVideo, Inc.
  • Publication number: 20130182904
    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 17, 2013
    Publication date: July 18, 2013
    Applicant: OBJECTVIDEO, INC.
    Inventor: OBJECTVIDEO, INC.
  • Publication number: 20130184592
    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: Application
    Filed: January 17, 2013
    Publication date: July 18, 2013
    Applicant: OBJECTVIDEO, INC.
    Inventor: OBJECTVIDEO, INC.
  • Publication number: 20130182905
    Abstract: A method and system for monitoring buildings (including houses and office buildings) by performing video content analysis based on two-dimensional image data and depth data are disclosed. Occupation and use of such buildings may be monitored with higher accuracy to provide higher energy efficiency usage, to control operation of components therein, and/or provide better security.. Height data may be obtained from depth data to provide greater reliability in object detection, object classification and/or event detection.
    Type: Application
    Filed: January 17, 2013
    Publication date: July 18, 2013
    Applicant: OBJECTVIDEO, INC.
    Inventor: OBJECTVIDEO, INC.