Patents by Inventor Zeeshan Rasheed
Zeeshan Rasheed 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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Publication number: 20140341433Abstract: 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 way further include an alert generator, adapted to generate an alert based on the identified behavior.Type: ApplicationFiled: August 8, 2014Publication date: November 20, 2014Inventors: Niels HAERING, Zeeshan Rasheed, Li Yu, Andrew J. Chosak
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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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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: 8457401Abstract: A method for segmenting video data into foreground and background (324) portions utilizes statistical modeling of the pixels ? statistical model of the background is built for each pixel, and each pixel in an incoming video frame is compared (326) 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: GrantFiled: March 1, 2007Date of Patent: June 4, 2013Assignee: 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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Publication number: 20120268594Abstract: 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: ApplicationFiled: January 19, 2012Publication date: October 25, 2012Applicant: ObjectVideo, Inc.Inventors: Niels HAERING, Zeeshan RASHEED, Li YU, Andrew J. CHOSAK
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Patent number: 7949150Abstract: A video sequence of a field of view within an environment is received. Targets are detected in the video sequence. Target geo-positional information is received. Correspondences between the targets detected in the video sequence and the target geo-positional information are determined and used to calibrate the camera and to geo-register a field of view of the camera.Type: GrantFiled: April 2, 2007Date of Patent: May 24, 2011Assignee: ObjectVideo, Inc.Inventors: Niels Haering, Zeeshan Rasheed, Khurram Hassan-Shafique, Asaad Hakeem, Omar Javed, Xiao Chun Cao, Haiying Liu, Li Yu, Donald G. Madden, Andrew J. Chosak, Geoffrey Taylor, Himaanshu Gupta, Alan J. Lipton
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Patent number: 7825954Abstract: A method of video analysis may comprise tracking a state of each target in a video through multiple frames of said video, each state indicating a visibility condition of a target.Type: GrantFiled: May 31, 2005Date of Patent: November 2, 2010Assignee: ObjectVideo, Inc.Inventors: Zhong Zhang, Haiying Liu, Alan J. Lipton, Zeeshan Rasheed, Paul C. Brewer, Andrew J. Chosak, Niels Haering, Peter L. Venetianer, Weihong Yin
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Patent number: 7822275Abstract: A computer-based method for automatic detection of water regions in a video include the steps of estimating a water map of the video and outputting the water map to an output medium, such as a video analysis system. The method may further include the steps of training a water model from the water map; re-classifying the water map using the water model by detecting water pixels in the video; and refining the water map.Type: GrantFiled: June 4, 2007Date of Patent: October 26, 2010Assignee: ObjectVideo, Inc.Inventors: Zeeshan Rasheed, Niels Haering, Omar Javed, Xiao Chun Cao, Andrew J. Chosak, Himaanshu Gupta, Khurram Hassan-Shafique, Mun Wai Lee, Alan J. Lipton, Haiying Liu, Donald G. Madden, Geoffrey Taylor, Li Yu, Peter L. Venetianer, Zhong Zhang, Wei Hong Yin
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Patent number: 7796780Abstract: A technique for video processing includes: receiving video from an overhead view of a scene; detecting moving pixels in the video; detecting line segments in the video based on detected moving pixels; identifying targets in the video based on the detected line segments; tracking targets in the video based on the identified targets; and managing tracked targets in the video.Type: GrantFiled: June 24, 2005Date of Patent: September 14, 2010Assignee: ObjectVideo, Inc.Inventors: Alan J. Lipton, Peter L. Venetianer, Zhong Zhang, Haiying Liu, Zeeshan Rasheed, Himaanshu Gupta, Li Yu
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Publication number: 20090297023Abstract: A method for segmenting video data into foreground and background (324) portions utilizes statistical modeling of the pixels ? statistical model of the background is built for each pixel, and each pixel in an incoming video frame is compared (326) 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: March 1, 2007Publication date: December 3, 2009Applicant: ObjectVideo Inc.Inventors: Alan J. Lipton, Niels Haering, Zeeshan Rasheed, Omar Javed, Zhong Zhang, Wei Hong Yin, Peter L. Venetianer, Gary W. Myers
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Patent number: 7583815Abstract: 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: GrantFiled: April 5, 2005Date of Patent: September 1, 2009Assignee: ObjectVideo Inc.Inventors: Zhong Zhang, Li Yu, Haiying Liu, Paul C. Brewer, Andrew J. Chosak, Himaanshu Gupta, Niels Haering, Omar Javed, Alan J. Lipton, Zeeshan Rasheed, Pèter L. Venetianer, Weihong Yin, Liangyin Yu
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Publication number: 20080298636Abstract: A computer-based method for automatic detection of water regions in a video include the steps of estimating a water map of the video and outputting the water map to an output medium, such as a video analysis system. The method may further include the steps of training a water model from the water map; re-classifying the water map using the water model by detecting water pixels in the video; and refining the water map.Type: ApplicationFiled: June 4, 2007Publication date: December 4, 2008Applicant: Object Video, Inc.Inventors: Zeeshan Rasheed, Neils Haering, Omar Javed, Xiao C. Cao, Andrew J. Chosak, Himaanshu Gupta, Khurram Hassan-Shafique, Mun W. Lee, Alan J. Lipton, Haiying Liu, Donald G. Madden, Geoffrey Taylor, Li Yu, Peter L. Venetianer, Zhong Zhang, Wei Hong Yin
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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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Patent number: 7450735Abstract: Tracking and surveillance methods and systems for monitoring objects passing in front of non-overlapping cameras. Invention finds corresponding tracks from different cameras and works out which object passing in front of the camera(s) made the tracks, in order to track the object from camera to camera. The invention uses an algorithm to learn inter-camera spatial temporal probability using Parzen windows, learns inter-camera appearance probabilities using distribution of Bhattacharyya distances between appearance models, establishes correspondences based on Maximum A Posteriori (MAP) framework combining both spatial temporal and appearance probabilities, and updates learned probabilities throughout the lifetime of the system.Type: GrantFiled: October 16, 2004Date of Patent: November 11, 2008Assignee: University of Central Florida Research Foundation, Inc.Inventors: Mubarak Shah, Omar Javed, Khurram Shafique, Zeeshan Rasheed
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Publication number: 20080240616Abstract: A video sequence of a field of view within an environment is received. Targets are detected in the video sequence. Target geo-positional information is received. Correspondences between the targets detected in the video sequence and the target geo-positional information are determined and used to calibrate the camera and to geo-register a field of view of the camera.Type: ApplicationFiled: April 2, 2007Publication date: October 2, 2008Applicant: ObjectVideo, Inc.Inventors: Niels Haering, Zeeshan Rasheed, Khurram Hassan-Shafique, Asaad Hakeem, Omar Javed, Xiao C. Cao, Haiying Liu, Li Yu, Donald G. Madden, Andrew J. Chosak, Geoffrey Taylor, Himaanshu Gupta, Alan J. Lipton
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Patent number: 7424175Abstract: 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: GrantFiled: February 27, 2007Date of Patent: September 9, 2008Assignee: ObjectVideo, Inc.Inventors: Alan J. Lipton, Niels Haering, Zeeshan Rasheed, Omar Javed, Zhong Zhang, Weihong Yin, Péter L. Venetianer, Gary W. Myers
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Publication number: 20080166015Abstract: 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: ApplicationFiled: April 24, 2007Publication date: July 10, 2008Applicant: Object Video, Inc.Inventors: Niels Haering, Zeeshan Rasheed, Li Yu, Andrew J. Chosak, Geoffrey Egnal, Alan J. Lipton, Haiying Liu, Peter L. Venetianer, Wei Hong Yin, Liang Y. Yu, 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: 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: 20060291695Abstract: A technique for video processing includes: receiving video from an overhead view of a scene; detecting moving pixels in the video; detecting line segments in the video based on detected moving pixels; identifying targets in the video based on the detected line segments; tracking targets in the video based on the identified targets; and managing tracked targets in the video.Type: ApplicationFiled: June 24, 2005Publication date: December 28, 2006Applicant: ObjectVideo, Inc.Inventors: Alan Lipton, Peter Venetianer, Zhong Zhang, Haiying Liu, Zeeshan Rasheed, Himaanshu Gupta, Li Yu