Video Post Processing Method For On Board Vehicle Camera with Integrated Eye Tracker

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26610%2F18%3APU129868" target="_blank" >RIV/00216305:26610/18:PU129868 - isvavai.cz</a>

Result on the web

<a href="http://eudl.eu/doi/10.4108/eai.6-11-2018.2279712" target="_blank" >http://eudl.eu/doi/10.4108/eai.6-11-2018.2279712</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.4108/eai.6-11-2018.2279712" target="_blank" >10.4108/eai.6-11-2018.2279712</a>

Result language

angličtina

Original language name

Video Post Processing Method For On Board Vehicle Camera with Integrated Eye Tracker

Original language description

This article describes how to process Eye Tracker System (ETS) data from recorded videos. The research task consisted in confirming the literature fact that the eyes of the moving person (in our case the driver in the car) inadvertently concentrate their position of the eye’s sharp vision center (ESVC) on the place on the scene where the center of the optical flow is located. ETS video records were obtained during experiments in a real vehicle test environment. As part of the post-processing of ETS videos, we determined the numerical difference between the sharp eye viewing position center and the center of the optical flow center (FOE, focus of expansion) for each recorded image. In video post processing, the vibration of the driver’s head in moving car were corrected at it was based on recorded acceleration data. The correcting of acceleration data from the ETS had significantly improved the results of the difference assessment of both centers – ESVC and FOE. A program framework was created in the MATLAB computing environment and it is ready for future use. This work can be useful as contribution in development of driver monitoring systems and fatigue detection software development and road safety improvement. Lack of concentration in a driver due to fatigue is a major cause of road accidents. This approach (the measurement of distance between ESVC and FOE positions) can be used in role input data generator to develop video processing and artificial intelligence based system to automatically detect driver fatigue and warn the driver, in order to prevent accidents.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

20205 - Automation and control systems

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

MMS 2018 - 3rd EAI International Conference on Management of Manufacturing Systems

ISBN

978-1-63190-167-6

ISSN

2593-7642

e-ISSN

—

Number of pages

10

Pages from-to

1-10

Publisher name

Neuveden

Place of publication

neuveden

Event location

Dubrovník

Event date

Nov 6, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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