Haiying Tao Yu T-C Liu from 13893 Lawrence Park Ct, Fairfax, VA 20151, age 54

Us Patents

Spurious Object Detection In A Video Surveillance System
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US Patent:

7391907, Jun 24, 2008
Filed:

Oct 1, 2004
Appl. No.:

10/954309
Inventors:

Péter L. Venetianer - McLean VA, US
Alan J. Lipton - Herndon VA, US
Haiying Liu - Chantilly VA, US
Paul C. Brewer - Arlington VA, US
John I. W. Clark - Leesburg VA, US
Assignee:

ObjectVideo, Inc. - Reston VA
International Classification:

G06K 9/64
US Classification:

382224, 382103, 382168, 382287
Abstract:

A system detects an object in frames of a video sequence to obtain a detected object, tracks the detected object in the frames of the video sequence to obtain a tracked object, and classifies the tracked object as a real object or a spurious object based on spatial and/or temporal properties of the tracked object.

Wide-Area Site-Based Video Surveillance System
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US Patent:

7583815, Sep 1, 2009
Filed:

Apr 5, 2005
Appl. No.:

11/098579
Inventors:

Zhong Zhang - Herndon VA, US
Li Yu - Herndon VA, US
Haiying Liu - Chantilly VA, US
Paul C. Brewer - Arlington VA, US
Andrew J. Chosak - Arlington VA, US
Himaanshu Gupta - Herndon VA, US
Niels Haering - Reston VA, US
Omar Javed - Herndon VA, US
Alan J. Lipton - Herndon VA, US
Zeeshan Rasheed - Reston VA, US
Weihong Yin - Herndon VA, US
Liangyin Yu - Herndon VA, US
Assignee:

ObjectVideo Inc. - Reston VA
International Classification:

G06K 9/00
H04N 5/225
US Classification:

382103, 348169
Abstract:

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. The method includes receiving surveillance data, including view targets, from a plurality of sensors at a site; synchronizing the surveillance data to a single time source; maintaining a site model of the site, wherein the site model comprises a site map, a human size map, and a sensor network model; analyzing the synchronized data using the site model to determine if the view targets represent a same physical object in the site; creating a map target corresponding to a physical object in the site, wherein the map target includes at least one view target; receiving a user-defined global event of interest, wherein the user-defined global event of interest is based on the site map and based on a set of rules; detecting the user-defined global event of interest in real time based on a behavior of the map target; and responding to the detected event of interest according to a user-defined response to the user-defined global event of interest.

Target Detection And Tracking From Overhead Video Streams
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US Patent:

7796780, Sep 14, 2010
Filed:

Jun 24, 2005
Appl. No.:

11/165435
Inventors:

Alan J. Lipton - Herndon VA, US
Peter L. Venetianer - McLean VA, US
Zhong Zhang - Herndon VA, US
Haiying Liu - Chantilly VA, US
Zeeshan Rasheed - Sterling VA, US
Himaanshu Gupta - Herndon VA, US
Li Yu - Herndon VA, US
Assignee:

ObjectVideo, Inc. - Reston VA
International Classification:

G06K 9/00
H04N 7/18
H04N 5/225
US Classification:

382103, 348143, 348169
Abstract:

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.

Method For Detecting Water Regions In Video
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US Patent:

7822275, Oct 26, 2010
Filed:

Jun 4, 2007
Appl. No.:

11/757738
Inventors:

Zeeshan Rasheed - Sterling VA, US
Niels Haering - Reston VA, US
Omar Javed - Herndon VA, US
Xiao Chun Cao - Reston VA, US
Andrew J. Chosak - Arlington VA, US
Himaanshu Gupta - Reston VA, US
Mun Wai Lee - Reston VA, US
Alan J. Lipton - Herndon VA, US
Haiying Liu - Chantilly VA, US
Donald G. Madden - Falls Church VA, US
Geoffrey Taylor - Reston VA, US
Li Yu - Herndon VA, US
Peter L. Venetianer - McLean VA, US
Zhong Zhang - Herndon VA, US
Wei Hong Yin - Herndon VA, US
Assignee:

ObjectVideo, Inc. - Reston VA
International Classification:

G06K 9/34
US Classification:

382173
Abstract:

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.

Multi-State Target Tracking
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US Patent:

7825954, Nov 2, 2010
Filed:

May 31, 2005
Appl. No.:

11/139600
Inventors:

Zhong Zhang - Herndon VA, US
Haiying Liu - Chantilly VA, US
Alan J. Lipton - Herndon VA, US
Zeeshan Rasheed - Reston VA, US
Paul C. Brewer - Arlington VA, US
Andrew J. Chosak - Arlington VA, US
Niels Haering - Reston VA, US
Peter L. Venetianer - McLean VA, US
Weihong Yin - Herndon VA, US
Assignee:

ObjectVideo, Inc. - Reston VA
International Classification:

H04N 5/225
G06K 9/00
US Classification:

348169, 382103
Abstract:

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.

Automatic Camera Calibration And Geo-Registration Using Objects That Provide Positional Information
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US Patent:

7949150, May 24, 2011
Filed:

Apr 2, 2007
Appl. No.:

11/730518
Inventors:

Niels Haering - Reston VA, US
Zeeshan Rasheed - Sterling VA, US
Asaad Hakeem - Ashburn VA, US
Omar Javed - Herndon VA, US
Xiao Chun Cao - Reston VA, US
Haiying Liu - Chantilly VA, US
Li Yu - Herndon VA, US
Donald G. Madden - Falls Church VA, US
Andrew J. Chosak - Arlington VA, US
Geoffrey Taylor - Reston VA, US
Himaanshu Gupta - Reston VA, US
Alan J. Lipton - Herndon VA, US
Assignee:

ObjectVideo, Inc. - Reston VA
International Classification:

G06K 9/00
H04N 5/225
US Classification:

382103, 348169
Abstract:

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.

Stationary Target Detection By Exploiting Changes In Background Model
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US Patent:

8401229, Mar 19, 2013
Filed:

Sep 4, 2008
Appl. No.:

12/204562
Inventors:

Peter L. Venetianer - McLean VA, US
Li Yu - Herndon VA, US
Haiying Liu - Chantilly VA, US
Assignee:

ObjectVideo, Inc. - Reston VA
International Classification:

G06K 9/00
US Classification:

382103, 382209, 382278, 348 50, 348575
Abstract:

A sequence of video frames of an area of interest is obtained. A first background model of the area of interest is constructed based on a first parameter. A second background model of the area of interest is constructed based on a second parameter, the second parameter being different from the first parameter. A difference between the first and second background models is determined. A stationary target is determined based on the determined difference. An alert concerning the stationary target is generated.

Method For Finding Paths In Video
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US Patent:

20060066719, Mar 30, 2006
Filed:

Sep 24, 2004
Appl. No.:

10/948751
Inventors:

Niels Haering - Reston VA, US
Zeeshan Rasheed - Reston VA, US
Li Yu - Herndon VA, US
Andrew Chosak - Arlington VA, US
Geoffrey Egnal - Washington DC, US
Alan Lipton - Herndon VA, US
Haiying Liu - Chantilly VA, US
Peter Venetianer - McLean VA, US
Weihong Yin - Herndon VA, US
Liang Yu - Herndon VA, US
Zhong Zhang - Herndon VA, US
Assignee:

ObjectVideo, Inc. - Reston VA
International Classification:

H04N 7/18
H04N 9/47
H04N 5/225
US Classification:

348143000, 348169000
Abstract:

An input video sequence may be processed by processing the input video sequence to obtain target information; and building at least one path model based on said target information. The path model may be used to detect various events, particularly in connection with video surveillance.