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Bobby Blythe Phones & Addresses

  • Wake Forest, NC
  • Pearland, TX
  • Houston, TX
  • Dobbin, TX
  • Montgomery, TX
  • Tomball, TX
  • Cleveland, TX
  • 3101 Creek Bank Ln, Pearland, TX 77581

Resumes

Resumes

Bobby Blythe Photo 1

Bobby Blythe

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Bobby Blythe Photo 2

Software Developer At Ibm Global Business Services

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Location:
Houston, Texas Area
Industry:
Computer Software

Business Records

Name / Title
Company / Classification
Phones & Addresses
Bobby Blythe
President
ORION SOFTWARE, INC
3101 Crk Bank Ln, Pearland, TX 77581

Publications

Us Patents

Server-Side Recycle Bin System

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US Patent:
6611836, Aug 26, 2003
Filed:
Dec 26, 2000
Appl. No.:
09/749116
Inventors:
Ray Charles Davis - Spring TX
Bobby Ernest Blythe - Pearland TX
Assignee:
SimDesk Technologies, Inc. - Houston TX
International Classification:
G06F 1730
US Classification:
707 10, 7071041, 707103 R, 707100, 709217, 709218, 709219, 709223
Abstract:
A server-side recycle bin system for retaining computer files and information is disclosed. The system comprises a local computer system, and a server including a server-side recycle bin. One or more persistent storage devices, providing the files and directories to be protected, are present either as part of the local computer system or as part of the server. The local computer system and the server may be connected via a wide area computer network, a local area network, the Internet, of any other method or combination of methods. A file manager application running on the local computer system interacts with a file serving application on the server such that there is generated a retained file in the server-side recycle bin.

Server-Side Recycle Bin System

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US Patent:
RE40949, Nov 3, 2009
Filed:
Aug 25, 2005
Appl. No.:
11/212139
Inventors:
Ray Charles Davis - Spring TX, US
Bobby Ernest Blythe - Houston TX, US
Assignee:
SimDesk Technologies, Inc. - Houston TX
International Classification:
G06F 17/30
US Classification:
707100
Abstract:
A server-side recycle bin system for retaining computer files and information is disclosed. The system comprises a local computer system, and a server including a server-side recycle bin. One or more persistent storage devices, providing the files and directories to be protected, are present either as part of the local computer system or as part of the server. The local computer system and the server may be connected via a wide area computer network, a local area network, the Internet, of any other method or combination of methods. A file manager application running on the local computer system interacts with a file serving application on the server such that there is generated a retained file in the server-side recycle bin.

Identifying Stale Background Pixels In A Video Analysis System

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US Patent:
8041116, Oct 18, 2011
Filed:
May 29, 2008
Appl. No.:
12/129551
Inventors:
John Eric Eaton - Houston TX, US
Wesley Kenneth Cobb - Woodlands TX, US
Kishor Adinath Saitwal - Houston TX, US
Bobby Ernest Blythe - Houston TX, US
Assignee:
Behavioral Recognition Systems, Inc. - Houston TX
International Classification:
G06K 9/34
G06K 9/00
US Classification:
382173, 382162
Abstract:
Embodiments of the present invention provide a method and a module for identifying a background of a scene depicted in an acquired stream of video frames that may be used by a video-analysis system. For each pixel or block of pixels in an acquired video frame a comparison measure is determined. The comparison measure depends on difference of color values exhibited in the acquired video frame and in a background image respectively by the pixel or block of pixels and a corresponding pixel and block of pixels in the background image. To determine the comparison measure, the resulting difference is considered in relation to a range of possible color values. If the comparison measure is above a dynamically adjusted threshold, the pixel or the block of pixels is classified as a part of the background of the scene.

Dark Scene Compensation In A Background-Foreground Module Of A Video Analysis System

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US Patent:
8064695, Nov 22, 2011
Filed:
May 29, 2008
Appl. No.:
12/129539
Inventors:
John Eric Eaton - Houston TX, US
Wesley Kenneth Cobb - Woodlands TX, US
Kishor Adinath Saitwal - Houston TX, US
Bobby Ernest Blythe - Houston TX, US
Assignee:
Behavioral Recognition Systems, Inc. - Houston TX
International Classification:
G06K 9/34
H04N 7/12
G06K 9/00
US Classification:
382173, 37524008
Abstract:
Embodiments of the present invention provide a method and a module for identifying a background of a scene depicted in an acquired stream of video frames that may be used by a video-analysis system. For each pixel or block of pixels in an acquired video frame a comparison measure is determined. The comparison measure depends on difference of color values exhibited in the acquired video frame and in a background image respectively by the pixel or block of pixels and a corresponding pixel and block of pixels in the background image. To determine the comparison measure, the resulting difference is considered in relation to a range of possible color values. If the comparison measure is above a dynamically adjusted threshold, the pixel or the block of pixels is classified as a part of the background of the scene.

Background-Foreground Module For Video Analysis System

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US Patent:
8094943, Jan 10, 2012
Filed:
May 29, 2008
Appl. No.:
12/129521
Inventors:
John Eric Eaton - Houston TX, US
Wesley Kenneth Cobb - Woodlands TX, US
Bobby Ernest Blythe - Houston TX, US
Kishor Adinath Saitwal - Houston TX, US
Tao Yang - Houston TX, US
Ming-Jung Seow - Houston TX, US
Assignee:
Behavioral Recognition Systems, Inc. - Houston TX
International Classification:
G06K 9/46
G06K 9/62
G06K 9/00
US Classification:
382190, 382224
Abstract:
Embodiments of the present invention provide a method and a module for identifying a background of a scene depicted in an acquired stream of video frames that may be used by a video-analysis system. For each pixel or block of pixels in an acquired video frame a comparison measure is determined. The comparison measure depends on difference of color values exhibited in the acquired video frame and in a background image respectively by the pixel or block of pixels and a corresponding pixel and block of pixels in the background image. To determine the comparison measure, the resulting difference is considered in relation to a range of possible color values. If the comparison measure is above a dynamically adjusted threshold, the pixel or the block of pixels is classified as a part of the background of the scene.

Behavioral Recognition System

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US Patent:
8131012, Mar 6, 2012
Filed:
Feb 8, 2008
Appl. No.:
12/028484
Inventors:
John Eric Eaton - Houston TX, US
Wesley Kenneth Cobb - Woodlands TX, US
Dennis Gene Urech - Katy TX, US
Bobby Ernest Blythe - Houston TX, US
David Samuel Friedlander - Houston TX, US
Rajkiran Kumar Gottumukkal - Houston TX, US
Lon William Risinger - Katy TX, US
Kishor Adinath Saitwal - Houston TX, US
Ming-Jung Seow - Houston TX, US
David Marvin Solum - Houston TX, US
Gang Xu - Houston TX, US
Tao Yang - Houston TX, US
Assignee:
BEHAVIORAL RECOGNITION SYSTEMS, Inc. - Houston TX
International Classification:
G06K 9/00
US Classification:
382103, 382155, 3405731
Abstract:
Embodiments of the present invention provide a method and a system for analyzing and learning behavior based on an acquired stream of video frames. Objects depicted in the stream are determined based on an analysis of the video frames. Each object may have a corresponding search model used to track an object's motion frame-to-frame. Classes of the objects are determined and semantic representations of the objects are generated. The semantic representations are used to determine objects' behaviors and to learn about behaviors occurring in an environment depicted by the acquired video streams. This way, the system learns rapidly and in real-time normal and abnormal behaviors for any environment by analyzing movements or activities or absence of such in the environment and identifies and predicts abnormal and suspicious behavior based on what has been learned.

Context Processor For Video Analysis System

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US Patent:
8200011, Jun 12, 2012
Filed:
Apr 30, 2008
Appl. No.:
12/112864
Inventors:
John Eric Eaton - Houston TX, US
Wesley Kenneth Cobb - Woodlands TX, US
Bobby Ernest Blythe - Houston TX, US
Rajkiran Kumar Gottumukkal - Houston TX, US
Kishor Adinath Saitwal - Houston TX, US
Assignee:
Behavioral Recognition Systems, Inc. - Houston TX
International Classification:
G06K 9/00
G06K 9/34
US Classification:
382173, 382103
Abstract:
Embodiments of the present invention provide a method and a system for mapping a scene depicted in an acquired stream of video frames that may be used by a machine-learning behavior-recognition system. A background image of the scene is segmented into plurality of regions representing various objects of the background image. Statistically similar regions may be merged and associated. The regions are analyzed to determine their z-depth order in relation to a video capturing device providing the stream of the video frames and other regions, using occlusions between the regions and data about foreground objects in the scene. An annotated map describing the identified regions and their properties is created and updated.

Visualizing And Updating Learned Trajectories In Video Surveillance Systems

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US Patent:
8280153, Oct 2, 2012
Filed:
Aug 18, 2009
Appl. No.:
12/543242
Inventors:
Wesley Kenneth Cobb - The Woodlands TX, US
Bobby Ernest Blythe - Houston TX, US
David Samuel Friedlander - Houston TX, US
Rajkiran Kumar Gottumukkal - Houston TX, US
Ming-Jung Seow - Houston TX, US
Gang Xu - Katy TX, US
Assignee:
Behavioral Recognition Systems - Houston TX
International Classification:
G06K 9/00
US Classification:
382155, 382103
Abstract:
Techniques are disclosed for visually conveying a trajectory map. The trajectory map provides users with a visualization of data observed by a machine-learning engine of a behavior recognition system. Further, the visualization may provide an interface used to guide system behavior. For example, the interface may be used to specify that the behavior recognition system should alert (or not alert) when a particular trajectory is observed to occur.
Bobby E Blythe from Wake Forest, NC, age ~57 Get Report