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Branislav Kisacanin Phones & Addresses

  • 3113 Ipswich Dr, Plano, TX 75025 (765) 455-8529
  • Anna, TX
  • Denton, TX
  • Little Elm, TX
  • 3122 Matthew Dr, Kokomo, IN 46902 (765) 455-8529
  • Chicago, IL
  • Bensenville, IL
  • Forest Park, IL
  • Colton, TX
  • 3113 Ipswich Dr, Plano, TX 75025 (765) 513-0838

Work

Position: Transportation and Material Moving Occupations

Education

Degree: High school graduate or higher

Emails

Resumes

Resumes

Branislav Kisacanin Photo 1

Senior Architect, Computer Vision

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Location:
Dallas, TX
Industry:
Computer Hardware
Work:
Nvidia
Senior Architect, Computer Vision

Interphase Feb 2013 - Sep 2015
Cto, Embedded Computer Vision

Texas Instruments Jul 2009 - Nov 2012
Embedded Computer Vision Systems Expert

Texas Instruments Jul 2007 - Jun 2009
Embedded Computer Vision Scientist

Delphi Mar 1998 - Jun 2007
Automotive Vision Scientist
Education:
University of Illinois at Chicago 1992 - 1998
Doctorates, Doctor of Philosophy
Skills:
Computer Vision
Embedded Systems
Signal Processing
Image Processing
Digital Signal Processors
Opencv
Digital Signal Processing
Algorithms
Machine Learning
Sensors
Pattern Recognition
Digital Image Processing
Simulations
Embedded Software
Matlab
Computer Architecture
Video Processing
Wireless Sensor Networks
Semiconductors
Hardware Architecture
Processors
Robotics
Algorithm Design
Optimization
Arm
Soc
Artificial Intelligence
Interests:
Science and Technology
Education
Branislav Kisacanin Photo 2

Cto, Embedded Computer Vision At Interphase

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Location:
Dallas/Fort Worth Area
Industry:
Semiconductors
Work:
Texas Instruments Jul 2009 - Nov 2012
Embedded Computer Vision Systems Expert

Texas Instruments Jul 2007 - Jun 2009
Embedded Computer Vision Scientist

Delphi Mar 1998 - Jun 2007
Automotive Vision Scientist
Education:
University of Illinois at Chicago 1992 - 1998
PhD, EE/CS
Skills:
Computer Vision
Embedded Systems
Signal Processing
Image Processing
Digital Signal Processors
OpenCV
Digital Signal Processing
Algorithms
Machine Learning
Sensors
Pattern Recognition
Digital Image Processing
Simulations
Embedded Software
Matlab
Computer Architecture
Video Processing
Honor & Awards:
IEEE Senior Member (2008) Delphi Innovation Hall of Fame (2006) Andrew Fellowship at UIC (1995) Science Foundation Fellowship at U of Novi Sad (1990-92) Povelja J.J.Zmaj (highschool valedictorian) (1986)
Awards:
Delphi Innovations Hall of Fame
Delphi
Induction into the Innovation Hall of Fame is one of the greatest recognitions one can get for technology portfolio contributions at Delphi. Requires 10 patents or trade secrets approved by the US Patent Office and the internal company committee, respectively.
Speaker at the TI Embedded Processing Seminar
Company-wide presentation of the skunkworks project which resulted in the new embedded vision coprocessor.
General Chair of Embedded Vision Workshop
2013 IEEE CVPR
General Chair of Human-Computer Interations Workshop
2011 IEEE IJCV
Program Chair of Embedded Vision Workshop
2012 IEEE CVPR

Publications

Isbn (Books And Publications)

Mathematical Problems and Proofs: Combinatorics, Number Theory, and Geometry

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Author

Branislav Kisacanin

ISBN #

0306459671

Linear Control Systems: With Solved Problems and Matlab Examples

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Author

Branislav Kisacanin

ISBN #

0306467437

Real-Time Vision for Human-Computer Interaction

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Author

Branislav Kisacanin

ISBN #

0387276971

Real-Time Vision for Human-Computer Interaction

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Author

Branislav Kisacanin

ISBN #

0387278907

Us Patents

Target Awareness Determination System And Method

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US Patent:
6989754, Jan 24, 2006
Filed:
Jun 2, 2003
Appl. No.:
10/452756
Inventors:
Branislav Kisacanin - Kokomo IN, US
Timothy J. Newman - Noblesville IN, US
Gregory K. Scharenbroch - Kokomo IN, US
Matthew R. Smith - Kokomo IN, US
Gerald J. Witt - Carmel IN, US
Glenn R Widmann - West Bloomfield MI, US
Assignee:
Delphi Technologies, Inc. - Troy MI
International Classification:
G08B 23/00
US Classification:
340576, 340435, 340436, 340575, 34053925, 382103
Abstract:
An object awareness determination system and method of determining awareness of a driver of a vehicle to an object is provided. The system includes an object monitor including an object detection sensor for sensing an object in a field of view and determining a position of the object. The system also includes an eye gaze monitor including an imaging camera oriented to capture images of the vehicle driver including an eye of the driver. The gaze monitor determines an eye gaze vector. The system further has a controller for determining driver awareness of the object based on the detected object position and the eye gaze vector.

Method Of Detecting Vehicle-Operator State

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US Patent:
7423540, Sep 9, 2008
Filed:
Dec 23, 2005
Appl. No.:
11/317431
Inventors:
Branislav Kisacanin - Kokomo IN, US
Assignee:
Delphi Technologies, Inc. - Troy MI
International Classification:
G08B 23/00
US Classification:
340576, 340937, 382103, 382118, 382287, 382296, 382195
Abstract:
A method of detecting the state of an operator of a vehicle utilizes a low-cost operator state detection system having no more than one camera located preferably in the vehicle and directed toward a driver. A processor of the detection system processes preferably three points of the facial feature of the driver to calculate head pose and thus determine driver state (i. e. distracted, drowsy, etc. ). The head pose is generally a three dimensional vector that includes the two angular components of yaw and pitch, but preferably not roll. Preferably, an output signal of the processor is sent to a counter measure system to alert the driver and/or accentuate vehicle safety response.

Real-Time Method Of Determining Eye Closure State Using Off-Line Adaboost-Over-Genetic Programming

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US Patent:
7610250, Oct 27, 2009
Filed:
Sep 27, 2006
Appl. No.:
11/527907
Inventors:
Branislav Kisacanin - Kokomo IN, US
Eric Yoder - Frankfort IN, US
Assignee:
Delphi Technologies, Inc. - Troy MI
International Classification:
G06N 3/12
US Classification:
706 13, 706 12, 706 14, 706 20
Abstract:
Real-time video images of a human subject's face are processed by a plurality of classification algorithms developed in an off-line training process to determine the open vs. closed eye state of the subject. The off-line training process utilizes a genetic programming loop embedded within an adaptive boosting loop, and forms the classification algorithms and weighting factors for combining their classification scores. In the real-time process, the individual classification scores are combined and compared to a threshold to determine the open vs. closed eye state.

Illumination And Imaging System With Glare Reduction And Method Therefor

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US Patent:
7646422, Jan 12, 2010
Filed:
Oct 4, 2006
Appl. No.:
11/542980
Inventors:
Branislav Kisacanin - Kokomo IN, US
Timothy J. Newman - Noblesville IN, US
International Classification:
H04N 5/222
H04N 9/47
G06K 9/00
US Classification:
348370, 348 78, 382117
Abstract:
A system and method are provided for actively illuminating and capturing images of an object, such as a driver of a vehicle to reduce glare. The system includes a video imaging camera orientated to generate images of the subject object (e. g. , eye(s)) in successive video frames. The system also includes first and second light sources operable to illuminate the object one at a time. The system further includes a processor for processing the image by performing pixel-wise min operation to combine multiple frames into a single frame to reduce glare in the image. The system may remove glare caused by the illuminators and caused by external energy sources.

Method Of Developing A Classifier Using Adaboost-Over-Genetic Programming

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US Patent:
20080126275, May 29, 2008
Filed:
Sep 27, 2006
Appl. No.:
11/528087
Inventors:
Vladimir S. Crnojevic - Novi Sad, YU
Peter J. Schubert - Naperville IL, US
Branislav Kisacanin - Kokomo IN, US
International Classification:
G06F 15/18
G06N 3/12
US Classification:
706 13
Abstract:
An iterative process involving both genetic programming and adaptive boosting is used to develop a classification algorithm using a series of training examples. A genetic programming process is embedded within an adaptive boosting loop to develop a strong classifier based on combination of genetically produced classifiers.

Semi-Global Stereo Correspondence Processing With Lossless Image Decomposition

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US Patent:
20130083994, Apr 4, 2013
Filed:
Oct 1, 2012
Appl. No.:
13/632405
Inventors:
Texas Instruments Incorporated - Dallas TX, US
Manish Goel - Plano TX, US
Branislav Kisacanin - Plano TX, US
Assignee:
Texas Instruments Incorporated - Dallas TX
International Classification:
G06K 9/36
US Classification:
382154
Abstract:
A method for disparity cost computation for a stereoscopic image is provided that includes computing path matching costs for external paths of at least some boundary pixels of a tile of a base image of the stereoscopic image, wherein a boundary pixel is a pixel at a boundary between the tile and a neighboring tile in the base image, storing the path matching costs for the external paths, computing path matching costs for pixels in the tile, wherein the stored path matching costs for the external paths of the boundary pixels are used in computing some of the path matching costs of some of the pixels in the tile, and computing aggregated disparity costs for the pixels in the tile, wherein the path matching costs computed for each pixel are used to compute the aggregated disparity costs for the pixel.

Web-Based Design Of Software For Keep-Alive Boards

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US Patent:
6925445, Aug 2, 2005
Filed:
Dec 20, 1999
Appl. No.:
09/467396
Inventors:
Branislav Kisacanin - Kokomo IN, US
Assignee:
Delphi Technologies, Inc. - Troy MI
International Classification:
G06F017/60
US Classification:
705 26, 705 27, 345581, 345594
Abstract:
A customer compatible software is electronically provided to a customer based on a customer specification provided through a web interface. In one embodiment, the specification is checked for input errors and the customer is prompted to correct any detected errors, before proceeding. In another embodiment, a specification file is created by a common gateway interface (CGI) program based on the received customer specification. A customer compatible executable is then created by first selecting generic source code from a library (based on the specification file). Next, the generic source code is modified (based on the specification file). Then, the modified generic source code is compiled and linked to create an executable. Finally, the executable is converted to a customer compatible executable and provided with documentation to the customer via e-mail.

Confidence Generation Using A Neural Network

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US Patent:
20220237414, Jul 28, 2022
Filed:
Jan 26, 2021
Appl. No.:
17/158743
Inventors:
- Santa Clara CA, US
Zoran Nikolic - Sugarland TX, US
Branislav Kisacanin - Plano TX, US
Eric Viscito - Shelburne VT, US
International Classification:
G06K 9/62
G06K 9/00
B60W 60/00
B60W 10/18
B60W 10/04
B60W 50/14
B60W 30/095
B60W 30/09
A01B 69/00
A01C 21/00
A01G 25/09
A01G 25/16
A01M 21/00
G16H 40/67
G06N 3/08
G06N 3/04
Abstract:
Apparatuses, systems, and techniques to generate one or more confidence values associated with one or more objects identified by one or more neural networks. In at least one embodiment, one or more confidence values associated with one or more objects identified by one or more neural networks are generated based on, for example, one or more neural network outputs.
Branislav M Kisacanin from Plano, TX, age ~56 Get Report