Patents Assigned to ObjectVideo, Inc.
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Publication number: 20160155003Abstract: 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: ApplicationFiled: March 10, 2014Publication date: June 2, 2016Applicant: ObjectVideo, Inc.Inventors: Peter L. Venetianer, Alan J. Lipton, Yongtong Hu, Andrew J. Martone, Weihong Yin, Li Yu, Zhong Zhang
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Patent number: 8948458Abstract: 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: GrantFiled: August 2, 2013Date of Patent: February 3, 2015Assignee: ObjectVideo, IncInventors: Khurram Hassan-Shafique, Péter L. Venetianer, Li Yu, Haiying Liu
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Publication number: 20140324864Abstract: 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: ApplicationFiled: April 14, 2014Publication date: October 30, 2014Applicant: ObjectVideo, Inc.Inventors: Tae Eun Choe, Hongli Deng, Mun Wai Lee, Feng Guo
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Publication number: 20140293048Abstract: 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: ApplicationFiled: October 21, 2013Publication date: October 2, 2014Applicant: ObjectVideo, Inc.Inventors: Steve Titus, Zhong Zhang, John I. W. Clark, Alan J. Lipton, Kelly Schomburg, Peter L. Venetianer, Li Yu
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Patent number: 8848053Abstract: 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: GrantFiled: March 27, 2007Date of Patent: September 30, 2014Assignee: ObjectVideo, Inc.Inventors: W. Andrew Scanlon, Andrew J. Chosak, John I. W. Clark, Robert A. Cutting, Alan J. Lipton, Gary W. Myers
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Patent number: 8823804Abstract: 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: GrantFiled: January 19, 2012Date of Patent: September 2, 2014Assignee: ObjectVideo, Inc.Inventors: Niels Haering, Zeeshan Rasheed, Li Yu, Andrew J. Chosak
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Patent number: 8711217Abstract: 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: GrantFiled: December 15, 2005Date of Patent: April 29, 2014Assignee: ObjectVideo, Inc.Inventors: Peter L. Venetianer, Alan J. Lipton, Yongtong Hu, Andrew J. Martone, Weihong Yin, Li Yu, Zhong Zhang
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Publication number: 20140072170Abstract: 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: ApplicationFiled: March 15, 2013Publication date: March 13, 2014Applicant: OBJECTVIDEO, INC.Inventors: Zhong Zhang, Weihong Yin, Peter Venetianer
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Publication number: 20130315444Abstract: 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: ApplicationFiled: August 2, 2013Publication date: November 28, 2013Applicant: OBJECTVIDEO, INC.Inventors: Khurram Hassan-Shafique, Péter L. Venetianer, Li Yu, Haiying Liu
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Patent number: 8564661Abstract: 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: GrantFiled: July 26, 2007Date of Patent: October 22, 2013Assignee: 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
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Publication number: 20130266181Abstract: 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: ApplicationFiled: March 14, 2013Publication date: October 10, 2013Applicant: OBJECTVIDEO, INC.Inventors: Paul C. Brewer, Dana Eubanks, Himaanshu Gupta, W. Andrew Scanlon, Peter L. Venetianer, Weihong Yin, Li Yu, Zhong Zhang
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Publication number: 20130250050Abstract: 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: ApplicationFiled: March 15, 2013Publication date: September 26, 2013Applicant: OBJECTVIDEO, INC.Inventors: Atul Kanaujia, Niels Haering, Mun Wai Lee
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Publication number: 20130242095Abstract: 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: ApplicationFiled: May 3, 2013Publication date: September 19, 2013Applicant: OBJECTVIDEO, INC.Inventors: Alan J. Lipton, Niels Haering, Zeeshan Rasheed, Omar Javed, Zhong Zhang, Weihong Yin, Peter L. Venetianer, Gary W. Myers
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Patent number: 8526678Abstract: 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: GrantFiled: February 19, 2013Date of Patent: September 3, 2013Assignee: ObjectVideo, Inc.Inventors: Haiying Liu, Li Yu, Khurram Hassan-Shafique, Péter L. Venetianer
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Patent number: 8497906Abstract: 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: GrantFiled: May 17, 2010Date of Patent: July 30, 2013Assignee: 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
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Publication number: 20130188833Abstract: 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: ApplicationFiled: February 19, 2013Publication date: July 25, 2013Applicant: ObjectVideo, Inc.Inventor: ObjectVideo, Inc.
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Publication number: 20130182904Abstract: 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: ApplicationFiled: January 17, 2013Publication date: July 18, 2013Applicant: OBJECTVIDEO, INC.Inventor: OBJECTVIDEO, INC.
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Publication number: 20130182114Abstract: 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: ApplicationFiled: January 17, 2013Publication date: July 18, 2013Applicant: ObjectVideo, Inc.Inventor: ObjectVideo, Inc.
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Publication number: 20130182905Abstract: 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: ApplicationFiled: January 17, 2013Publication date: July 18, 2013Applicant: OBJECTVIDEO, INC.Inventor: OBJECTVIDEO, INC.
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Publication number: 20130184592Abstract: 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: ApplicationFiled: January 17, 2013Publication date: July 18, 2013Applicant: OBJECTVIDEO, INC.Inventor: OBJECTVIDEO, INC.