Patents by Inventor Peter Venetianer
Peter 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).
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Patent number: 11302117Abstract: A method of detecting an anomaly is provided, including dividing each frame of a video stream into a plurality of cells; in each cell formulate statistics based on metadata generated for the frame, the metadata related to presence of an object in the cell, velocity of objects in the cell, direction of motion of objects in the cell, and classification of objects in the cell; and using the formulated statistics to determine when the anomalous activity has occurred in one of the cells of the plurality of cells.Type: GrantFiled: April 9, 2020Date of Patent: April 12, 2022Assignee: AVIGILON CORPORATIONInventors: Dharanish Kedarisetti, Peter Venetianer
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Patent number: 10867495Abstract: A process for adjusting an amount of video analytics data reported by video capturing devices deployed in a given location. In operation, an electronic computing device detects occurrence of an incident at an incident location based on processing video data or sensor data that are captured corresponding to the incident location. When it is determined that a video capturing device that is deployed within a predetermined distance from the incident location is currently configured with a second video analytics data reporting threshold that is greater than the first video analytics data reporting threshold, the electronic computing device transmits an instruction to the video capturing device to lower the second video analytics data reporting threshold to the first video analytics data reporting threshold and further report video analytics data corresponding to a video stream captured by the video capturing device as a function of the first video analytics data reporting threshold.Type: GrantFiled: September 11, 2019Date of Patent: December 15, 2020Assignee: MOTOROLA SOLUTIONS, INC.Inventors: Peter Venetianer, Yanyan Hu, Kevin Piette
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Publication number: 20200327313Abstract: A method of detecting an anomaly is provided, including dividing each frame of a video stream into a plurality of cells; in each cell formulate statistics based on metadata generated for the frame, the metadata related to presence of an object in the cell, velocity of objects in the cell, direction of motion of objects in the cell, and classification of objects in the cell; and using the formulated statistics to determine when the anomalous activity has occurred in one of the cells of the plurality of cells.Type: ApplicationFiled: April 9, 2020Publication date: October 15, 2020Inventors: Dharanish Kedarisetti, Peter Venetianer
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Patent number: 9646212Abstract: 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: GrantFiled: August 26, 2016Date of Patent: May 9, 2017Assignee: AVIGILON FORTRESS CORPORATIONInventors: Zhong Zhang, Weihong Yin, Peter Venetianer
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Publication number: 20160379061Abstract: 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: August 26, 2016Publication date: December 29, 2016Inventors: Zhong Zhang, Weihong Yin, Peter Venetianer
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Patent number: 9443143Abstract: 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 analyzes of monitored areas.Type: GrantFiled: March 1, 2015Date of Patent: September 13, 2016Assignee: AVIGILON FORTRESS CORPORATIONInventors: Zhong Zhang, Weihong Yin, Peter Venetianer
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Patent number: 9165190Abstract: 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: GrantFiled: March 15, 2013Date of Patent: October 20, 2015Assignee: Avigilon Fortress CorporationInventors: Zhong Zhang, Weihong Yin, Peter Venetianer
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Publication number: 20150178571Abstract: 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 1, 2015Publication date: June 25, 2015Inventors: Zhong Zhang, Weihong Yin, Peter Venetianer
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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: 20080291278Abstract: A computer-readable medium contains software that, when read by a computer, causes the computer to perform a method for wide-area site-based surveillance.Type: ApplicationFiled: April 5, 2006Publication date: November 27, 2008Applicant: ObjectVideo, Inc.Inventors: Zhong Zhang, Li Yu, Haiying Liu, Paul Brewer, Andrew Chosak, Himaanshu Gupta, Niels Haering, Omar Javed, Alan J. Lipton, Zeeshan Rasheed, W. Andrew Scanlon, Steve Titus, Peter Venetianer, Weihong Yin, Liangyin Yu
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Publication number: 20080117296Abstract: A video surveillance system comprises a first sensing unit; a second sensing unit; and a communication medium connecting the first sensing unit and the second sensing unit. The first sensing unit provides information about a position of a target to the second sensing unit via the communication medium, and the second sensing unit uses the position information to locate the target.Type: ApplicationFiled: January 23, 2008Publication date: May 22, 2008Applicant: ObjectVideo, Inc.Inventors: Geoffrey Egnal, Andrew Chosak, Niels Haering, Alan Lipton, Peter Venetianer, Weihong Yin, Zhong Zhang
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Publication number: 20080106599Abstract: 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: ApplicationFiled: November 21, 2006Publication date: May 8, 2008Applicant: Object Video, Inc.Inventors: Haiying Liu, Peter Venetianer, Niels Haering, Omar Javed, Alan Lipton, Andrew Martone, Zeeshan Rasheed, Weihong Yin, Li Yu, Zhong Zhang
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Publication number: 20080018738Abstract: 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: ApplicationFiled: July 13, 2007Publication date: January 24, 2008Applicant: ObjectVideo, Inc.Inventors: Alan Lipton, Peter Venetianer, Niels Haering, Paul Brewer, WeiHong Yin, Zhong Zhang, Li Yu, Yongtong Hu, Gary Myers, Andrew Chosak, Robert Cutting, W. Scanlon
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Publication number: 20070285510Abstract: A sensing device includes: a video imager to obtain video of an area; a processing unit to receive and process the video from the video imager to identify one of an event or a datum of interest; and a communication channel to output a non-imagery signal representing the event or datum.Type: ApplicationFiled: May 4, 2007Publication date: December 13, 2007Applicant: Object Video, Inc.Inventors: Alan Lipton, Bruce Thompson, John Clark, Peter Venetianer, Zhong Zhang, Li Yu, Wei Yin, Steve Titus, Amit Mistry, James Morris
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Publication number: 20070160289Abstract: 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: February 27, 2007Publication date: July 12, 2007Applicant: ObjectVideo, Inc.Inventors: Alan Lipton, Niels Haering, Zeeshan Rasheed, Omar Javed, Zhong Zhang, Weihong Yin, Peter Venetianer, Gary Myers
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Publication number: 20070127774Abstract: A technique for video processing includes: receiving video from a scene; detecting moving pixels in the video; detecting line segments or motion blocks in the video based on the detected moving pixels; identifying targets in the video based on the detected line segments or motion blocks; tracking targets in the video based on the identified targets; and managing the tracked targets in the video.Type: ApplicationFiled: January 31, 2007Publication date: June 7, 2007Applicant: ObjectVideo, Inc.Inventors: Zhong Zhang, Yongtong Hu, Alan Lipton, Peter Venetianer, Li Yu, Weihong Yin
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Publication number: 20070122000Abstract: Video processing to detect a stationary object in a video includes: performing background change detection on the video; performing motion detection on the video; determining stable pixels in the video based on the background change detection; and combining the stable pixels to identify at least one stationary object in the video.Type: ApplicationFiled: November 29, 2005Publication date: May 31, 2007Applicant: ObjectVideo, Inc.Inventors: Peter Venetianer, Andrew Chosak, Niels Haering, Alan Lipton, Zhong Zhang, Weihong Yin
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Publication number: 20070070190Abstract: A method of operating a video surveillance system is provided. The video surveillance system including at least two sensing units. A first sensing unit having a substantially 360 degree field of view is used to detect an event of interest. Location information regarding a target is sent from the first sensing unit to at least one second sensing unit when an event of interest is detected by the first sensing unit.Type: ApplicationFiled: September 26, 2005Publication date: March 29, 2007Applicant: ObjectVideo, Inc.Inventors: Weihong Yin, Li Yu, Zhong Zhang, Andrew Chosak, Niels Haering, Alan Lipton, Paul Brewer, Peter Venetianer
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Publication number: 20070058040Abstract: Detection of an omitted process in an event having of a sequence of processes includes: receiving video of an action area; receiving transaction data regarding a transaction occurring at the action area; detecting at least two different actor motion states in the video; detecting an event based on the motion states; and detecting the omitted process based on the detected event and the transaction data.Type: ApplicationFiled: September 9, 2005Publication date: March 15, 2007Applicant: ObjectVideo, Inc.Inventors: Zhong Zhang, Niels Haering, Alan Lipton, Haiying Liu, Peter Venetianer, Weihong Yin, Li Yu
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Publication number: 20070013776Abstract: A video surveillance 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: June 28, 2005Publication date: January 18, 2007Applicant: ObjectVideo, Inc.Inventors: Peter Venetianer, Alan Lipton, Andrew Chosak, Matthew Frazier, Niels Haering, Gary Myers, Weihong Yin, Zhong Zhang, Robert Cutting