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Padmanabhan Soundararajan

from Lutz, FL
Age ~51
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Also known as:
Padmanab Soundararajan, Soundarara Padman, Padman Soundararjan
Related to:
Saroja Soundararajan
Connected to:
Chelliah Soundar, 67Cheryl O Soundara, 41Geetha A Soundararajan, 53Nithya Soundararajan, 40Jairaj Sounderrajan, 48Dorene M Soundis, 69Alexander J Soundy, 33Nicole Soundy, 31Amina E Soune, 45Sakone T Sounethone, 37

Padmanabhan Soundararajan Phones & Addresses

  • Lutz, FL
  • 14227 Les Palms Cir, Tampa, FL 33613
  • 13401 Thomasville Cir, Tampa, FL 33617 (813) 980-0706
  • 13401 Thomasville Cir #C, Tampa, FL 33617 (813) 980-0706

Work

Company: The nielsen company Nov 2007 Position: Lead researcher

Education

Degree: Ph.D School / High School: University of South Florida 1998 to 2004 Specialities: Computer Vision

Skills

Algorithms • Data Mining • Matlab • Machine Learning • C++ • Simulations • Artificial Intelligence • Data Analysis • Software Engineering • Python • Programming • Apache Spark • C • Software Project Management • Computer Science • Statistics

Ranks

Certificate: Edx Verified Certificate For Introduction To Big Data With Apache Spark

Industries

Research

Resumes

Resumes

Padmanabhan Soundararajan Photo 1

Principal Research Engineer

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Location:
Tampa, FL
Industry:
Research
Work:
The Nielsen Company since Nov 2007
Lead Researcher
University of South Florida Jan 2004 - Nov 2007
PostDoc
Education:
University of South Florida 1998 - 2004
Ph.D, Computer Vision Malnad College of Engineering, Hassan 1991 - 1995
B.E., Electronics & Communication National College, Bangalore 1989 - 1991
Pre University
Skills:
Algorithms
Data Mining
Matlab
Machine Learning
C++
Simulations
Artificial Intelligence
Data Analysis
Software Engineering
Python
Programming
Apache Spark
C
Software Project Management
Computer Science
Statistics
Certifications:
Edx Verified Certificate For Introduction To Big Data With Apache Spark
Edx Verified Certificate For Scalable Machine Learning

Publications

Us Patents

Methods And Apparatus To Count People In Images

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US Patent:
20130259298, Oct 3, 2013
Filed:
Mar 29, 2012
Appl. No.:
13/434302
Inventors:
Venugopal Srinivasan - Tarpon Springs FL, US
Padmanabhan Soundararajan - Tampa FL, US
International Classification:
G06K 9/00
US Classification:
382103
Abstract:
An example method includes analyzing frame pairs of a plurality of frame pairs captured over a period of time to identify a redundant person indication detected in an overlap region, the overlap region corresponding to an intersection of a first field of view of a first image sensor and a second field of view of a second image sensor, each of the frame pairs including a first frame captured by the first image sensor and a second frame captured by the second image sensor; eliminating the identified redundant person indication to form a conditioned set of person indications for the period of time; grouping similarly located ones of the person indications of the conditioned set to form groups; analyzing the groups to identify redundant groups detected in the overlap region; and eliminating the redundant groups from a people tally generated based on the groups.

Methods And Apparatus To Count People In Images

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US Patent:
20130259299, Oct 3, 2013
Filed:
Mar 29, 2012
Appl. No.:
13/434319
Inventors:
Venugopal Srinivasan - Tarpon Springs FL, US
Padmanabhan Soundararajan - Tampa FL, US
International Classification:
G06K 9/00
US Classification:
382103
Abstract:
Methods and apparatus to count people in images are disclosed. An example method includes, in response to determining that a first person indication of a first frame obtained via a first image sensor is redundant to a second person indication of a second frame obtained via a second image sensor, storing a first coordinate of the first person indication in connection with a second coordinate of the second person indication in a database; and in response to detecting a third person indication in a third frame obtained via the first image sensor, querying the database with a third coordinate of the third person indication to determine whether the third coordinate matches the first coordinate.

Methods And Apparatus To Count People In Images

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US Patent:
20130259380, Oct 3, 2013
Filed:
Mar 29, 2012
Appl. No.:
13/434330
Inventors:
Venugopal Srinivasan - Tarpon Springs FL, US
Padmanabhan Soundararajan - Tampa FL, US
International Classification:
G06K 9/46
US Classification:
382192
Abstract:
Methods and apparatus to count people in images are disclosed. An example method includes generating a first fluctuation factor for a first frame by averaging fluctuation values of a random set of pixels of the first frame; generating a second fluctuation factor for a person indication area of the first frame by averaging fluctuation values of pixels of the person indication area; and marking the person indication area as a false positive when the second fluctuation factor is less than or equal to the first fluctuation factor.

Methods And Apparatus To Count People In Images

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US Patent:
20130259381, Oct 3, 2013
Filed:
Mar 29, 2012
Appl. No.:
13/434337
Inventors:
Venugopal Srinivasan - Tarpon Springs FL, US
Padmanabhan Soundararajan - Tampa FL, US
International Classification:
G06K 9/46
US Classification:
382192
Abstract:
Methods and apparatus to count people in images are disclosed. An example method includes dividing a frame of image data into a plurality of segments; calculating first fluctuation factors for the respective segments; calculating a second fluctuation factor for the frame; and identifying ones of the segments having a first fluctuation factor greater than the second fluctuation factor as active segments.

Methods And Apparatus To Predict Audience Composition And/Or Solicit Audience Members

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US Patent:
20130262181, Oct 3, 2013
Filed:
Mar 30, 2012
Appl. No.:
13/436057
Inventors:
Alexander Topchy - New Port Richey FL, US
Padmanabhan Soundararajan - Tampa FL, US
Arun Ramaswamy - Tampa FL, US
International Classification:
G06Q 30/02
US Classification:
705 731
Abstract:
Methods and apparatus to predict audience composition and solicit audience members are disclosed. A method to predict audience composition for future media involves obtaining indications of intent from first audience members to consume first media, determining a portion of the first audience members that were actually exposed to the first media, and predicting audience composition for a second media of second audience members based on the portion of the first audience members.

Methods And Apparatus To Select Media Based On Engagement Levels

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US Patent:
20130205314, Aug 8, 2013
Filed:
Nov 30, 2012
Appl. No.:
13/691557
Inventors:
Arun Ramaswamy - Tampa FL, US
Padmanabhan Soundararajan - Tampa FL, US
Alexander Pavlovich Topchy - New Port Richey FL, US
International Classification:
H04N 21/24
US Classification:
725 14
Abstract:
Methods and apparatus to select media based on engagement levels are disclosed. An example method includes generating an engagement level based on information related to an audience member in a media exposure environment; and selecting, based on the engagement level, one of a plurality of media collections from which a piece of media is to be select for presentation in the media exposure environment.

Methods And Apparatus To Control A State Of Data Collection Devices

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US Patent:
20130205311, Aug 8, 2013
Filed:
Nov 30, 2012
Appl. No.:
13/691579
Inventors:
Arun Ramaswamy - Tampa FL, US
Padmanabhan Soundararajan - Tampa FL, US
Alexander Pavlovich Topchy - New Port Richey FL, US
International Classification:
H04N 21/442
US Classification:
725 9
Abstract:
Methods and apparatus to control a state of data collection devices are disclosed. An example method includes generating a level of engagement based on an analysis of an audience associated with a media exposure environment; and controlling a state of a data collection device based on the level of engagement.

Methods, Systems, Apparatus And Articles Of Manufacture For Receipt Decoding

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US Patent:
20220383651, Dec 1, 2022
Filed:
Aug 8, 2022
Appl. No.:
17/883309
Inventors:
- Chicago IL, US
Hussain Masthan - Chennai, IN
Padmanabhan Soundararajan - Tampa FL, US
Jose Javier Yebes Torres - Valladolid, ES
Raju Kumar Allam - Chennai, IN
International Classification:
G06V 30/414
G06V 30/19
G06F 40/295
Abstract:
Methods, apparatus, systems and articles of manufacture are disclosed for receipt decoding. An example apparatus includes processor circuitry to execute instructions to extract text from the receipt image, the text including bounding boxes; associate ones of the bounding boxes to link horizontally related fields of a the receipt image by selecting a first bounding box; identifying first horizontally aligned bounding boxes, the first horizontally aligned bounding boxes to include at least one bounding box of the bounding boxes that is horizontally aligned relative to the first bounding box; adding the first horizontally aligned bounding boxes to a word sync list; and connecting ones of the first horizontally aligned bounding boxes and the first bounding box based on at least one of an amount of the first horizontally aligned bounding boxes in the word sync list and a relationship among the first horizontally aligned bounding boxes and the first bounding box.
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Padmanabhan Soundararajan from Lutz, FL, age ~51 Get Report