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Image based Eye Tracking and Detection for avoiding accidents on Roads:A Review

Snehal B. Meshram1 , 2 , Sonali Bodkhe3

Section:Review Paper, Product Type: Journal Paper
Volume-2 , Issue-11 , Page no. 44-46, Nov-2014

Online published on Nov 30, 2014

Copyright © Snehal B. Meshram, , Sonali Bodkhe . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Snehal B. Meshram, , Sonali Bodkhe, “Image based Eye Tracking and Detection for avoiding accidents on Roads:A Review,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.11, pp.44-46, 2014.

MLA Style Citation: Snehal B. Meshram, , Sonali Bodkhe "Image based Eye Tracking and Detection for avoiding accidents on Roads:A Review." International Journal of Computer Sciences and Engineering 2.11 (2014): 44-46.

APA Style Citation: Snehal B. Meshram, , Sonali Bodkhe, (2014). Image based Eye Tracking and Detection for avoiding accidents on Roads:A Review. International Journal of Computer Sciences and Engineering, 2(11), 44-46.

BibTex Style Citation:
@article{Meshram_2014,
author = {Snehal B. Meshram, , Sonali Bodkhe},
title = {Image based Eye Tracking and Detection for avoiding accidents on Roads:A Review},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2014},
volume = {2},
Issue = {11},
month = {11},
year = {2014},
issn = {2347-2693},
pages = {44-46},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=299},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=299
TI - Image based Eye Tracking and Detection for avoiding accidents on Roads:A Review
T2 - International Journal of Computer Sciences and Engineering
AU - Snehal B. Meshram, , Sonali Bodkhe
PY - 2014
DA - 2014/11/30
PB - IJCSE, Indore, INDIA
SP - 44-46
IS - 11
VL - 2
SN - 2347-2693
ER -

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Abstract

This paper aims to provide reliable indications of driver drowsiness describe of detecting early signs of fatigue in drivers and provide method for more security and attention for driver safety problem and to investigate driver mental state related to driver safety.As soon as the driver is falling in symptons of fatigue immediate message will be given to driver.In addition of the advance technology of Surff feature extraction algorithm is also added in the system for correct detection of status of driver.The Fatigue is detected in the system by the image processing method of comparing the images(frames) in the video and by using the human features we are eable to estimate the indirect way of detecting fatigue.The technique also focuses on modes of person when driving vehicle i.e awake, drowsy state or sleepy and sleep state.The system is very efficient to detect the fatigue and control the vehicle.

Key-Words / Index Term

Eye Tracking, Driving Safety, Mad Functions, Face Detection

References

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