Dynamic Face Recognition and Tracking System Using Machine Learning in Matlab and Bigdata Cover

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Dynamic Face Recognition and Tracking System Using Machine Learning in Matlab and Bigdata

International Journal on Smart Sensing and Intelligent Systems

Volume 10 (2017): Issue 5 (January 2017)

By: P.J Leo Evenss, S. Jennings Mcenroe and A. Prabhu Chakkaravarthy

Open Access

|Sep 2017

Authors

P.J Leo Evenss

UG Student, Dept of CSE, St Joseph’s College of Engineering, Chennai, India

S. Jennings Mcenroe

1716sjmcrash@gmail.com

UG Student, Dept of CSE, St Joseph’s College of Engineering, Chennai, India

A. Prabhu Chakkaravarthy

Assistant professor,Dept of CSE, St Joseph’s College of Engineering, Chennai, India

DOI: https://doi.org/10.21307/ijssis-2017-243 | Journal eISSN: 1178-5608

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Language: English

Page range: 163 - 173

Submitted on: May 27, 2017

Accepted on: Jun 15, 2017

Published on: Sep 1, 2017

Published by: Professor Subhas Chandra Mukhopadhyay

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

Cascade object detector,

Computer vision,

Face detection,

Face recognition,

Neural networks

Related subjects:

Introductions and overviews,

Engineering, other

© 2017 P.J Leo Evenss, S. Jennings Mcenroe, A. Prabhu Chakkaravarthy, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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