Real time blink recognition from various head pose using single eye

Real time blink recognition from various head pose using single eye Multimed Tools Appl https://doi.org/10.1007/s11042-018-6113-3 Real time blink recognition from various head pose using single eye 1 1 Sofia Jennifer John & Sree T. Sharmila Received: 20 June 2017 /Revised: 22 March 2018 /Accepted: 8 May 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract A vision based human system interface has gained its significance in many areas like drowsy driving, Computer Vision Syndrome (CVS), face detection or recognition etc. The image processing method used in these applications for eye detection is Viola-Jones algorithm. In a natural communication environment, a human face tends to have different roll, yaw and pitch orientation angles. Thus, maintaining a straight focus with a camera is not always practically possible. Motivated by this challenge, experimental analysis is done to identify an eye blink on various head orientation angles. The proposed idea suggests using a single eye to detect the eye state (open or close) rather than both eyes, as blink detection is the rapid closure of both eyes simultaneously and a single eye can be progressively located for wider orientation angles. For analysis roll orientation angles are computed based on eye canthus line and yaw orientations angles are based on nose-line. Accepted experimental http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Multimedia Tools and Applications Springer Journals

Real time blink recognition from various head pose using single eye

Loading next page...
 
/lp/springer_journal/real-time-blink-recognition-from-various-head-pose-using-single-eye-kvbbGsFEes
Publisher
Springer US
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Computer Science; Multimedia Information Systems; Computer Communication Networks; Data Structures, Cryptology and Information Theory; Special Purpose and Application-Based Systems
ISSN
1380-7501
eISSN
1573-7721
D.O.I.
10.1007/s11042-018-6113-3
Publisher site
See Article on Publisher Site

Abstract

Multimed Tools Appl https://doi.org/10.1007/s11042-018-6113-3 Real time blink recognition from various head pose using single eye 1 1 Sofia Jennifer John & Sree T. Sharmila Received: 20 June 2017 /Revised: 22 March 2018 /Accepted: 8 May 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract A vision based human system interface has gained its significance in many areas like drowsy driving, Computer Vision Syndrome (CVS), face detection or recognition etc. The image processing method used in these applications for eye detection is Viola-Jones algorithm. In a natural communication environment, a human face tends to have different roll, yaw and pitch orientation angles. Thus, maintaining a straight focus with a camera is not always practically possible. Motivated by this challenge, experimental analysis is done to identify an eye blink on various head orientation angles. The proposed idea suggests using a single eye to detect the eye state (open or close) rather than both eyes, as blink detection is the rapid closure of both eyes simultaneously and a single eye can be progressively located for wider orientation angles. For analysis roll orientation angles are computed based on eye canthus line and yaw orientations angles are based on nose-line. Accepted experimental

Journal

Multimedia Tools and ApplicationsSpringer Journals

Published: Jun 5, 2018

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off