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PANČÍK, J. MAXERA, P. KLEDUS, R. BELÁK, M. BILÍK, M.
Original Title
Video Post Processing Method For On Board Vehicle Camera with Integrated Eye Tracker
Type
conference paper
Language
English
Original Abstract
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.
Keywords
eye tracker system, optical flow, driver monitoring systems, fatigue detect software
Authors
PANČÍK, J.; MAXERA, P.; KLEDUS, R.; BELÁK, M.; BILÍK, M.
Released
4. 12. 2018
ISBN
978-1-63190-167-6
Book
MMS 2018 - 3rd EAI International Conference on Management of Manufacturing Systems
2593-7642
Periodical
MMS 2018
State
Republic of Croatia
Pages from
1
Pages to
10
Pages count
URL
http://eudl.eu/doi/10.4108/eai.6-11-2018.2279712
BibTex
@inproceedings{BUT151431, author="Juraj {Pančík} and Pavel {Maxera} and Robert {Kledus} and Michal {Belák} and Martin {Bilík}", title="Video Post Processing Method For On Board Vehicle Camera with Integrated Eye Tracker", booktitle="MMS 2018 - 3rd EAI International Conference on Management of Manufacturing Systems", year="2018", journal="MMS 2018", pages="1--10", doi="10.4108/eai.6-11-2018.2279712", isbn="978-1-63190-167-6", issn="2593-7642", url="http://eudl.eu/doi/10.4108/eai.6-11-2018.2279712" }