Real time blink recognition from various head pose using single eye-Reference-Cited by-同舟云学术

Real time blink recognition from various head pose using single eye

Published:2018-06-05 Issue:23 Volume:77 Page:31331-31345
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

John Sofia Jennifer,Sharmila Sree T.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/article/10.1007/s11042-018-6113-3/fulltext.html

Reference54 articles.

1. Ashwini M, Chakravarty N, Nandini M, Gaikwad R, Myna AN (2015) Eye Detection in Frontal Face Images. International Research Journal of Engineering and Technology 02(03):197–202

2. Feng GC, Yuen PC (2001) Multi-cues eye detection on gray intensity image. Pattern Recogn 34:1033–1046

3. Gao H, Yang Z (2017) AutoPath: Harnessing Parallel Execution Paths for Efficient Resource Allocation in Multi-Stage Big Data Frameworks. International Conference on Computer Communication and Networks (ICCCN)

4. Ghaoui C (2006) Encyclopedia of Human Computer Interaction. Idea Group Reference

5. Hemlata A, Motwani M (2013) Face Detection By Finding The Facial Features And The Angle of Inclination of Tilted Face. IJCSI International Journal of Computer Science Issues 10(2):472–479

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Accurate Detection of Drowsiness Using a Graph-Based Neural Network;2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC);2023-06-16

2. A Neutrosophic Set Approach on Chest X-rays for Automatic Lung Infection Detection;Information Technology and Control;2023-03-28

3. Driver Fatigue Detection Method Based on Human Pose Information Entropy;Journal of Advanced Transportation;2022-05-30

4. Top-Down Driver Head Orientation Detection Method Based on Monocular Camera and Virtual Scene Generation;Digital TV and Wireless Multimedia Communications;2022

5. Real-time classification for autonomous drowsiness detection using eye aspect ratio;Expert Systems with Applications;2020-11