Fatigue driving detection based on Haar feature and extreme learning machine-Reference-Cited by-同舟云学术

Fatigue driving detection based on Haar feature and extreme learning machine

Published:2016-08 Issue:4 Volume:23 Page:91-100
ISSN:1005-8885
Container-title:The Journal of China Universities of Posts and Telecommunications
language:en
Short-container-title:The Journal of China Universities of Posts and Telecommunications

Author:

Zheng Chang,Xiaojuan Ban,Yu Wang

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Information Systems,Signal Processing

Reference15 articles.

1. A study on OpenCV-based algorithms for face detection and tracking. Master Thesis;Lu,2015

2. Pupil localization algorithm based on Kinect sensor;Yang;Transducer and Microsystem Technologies,2015

3. Real-time detection of facial eye status based on Kinect sensor;Zhu;Journal of Dalian Nationalities University,2015

4. Robust real-time object detection. CRL 2001/01;Viola,2001

5. A visual saliency model based on Haar like featuress and structural complexity;Dai;Journal of Fudan University (Natural Science),2014

Cited by 16 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

2. DMS Fatigue Detection System For Driver In Vehicle;2023 35th Chinese Control and Decision Conference (CCDC);2023-05-20

4. A Systematic Survey of Driving Fatigue Monitoring;IEEE Transactions on Intelligent Transportation Systems;2022-11