Fatigue Detection Using Computer Vision

被引:8
|
作者
Patel, Mitesh [1 ]
Lal, Sara [1 ]
Kavanagh, Diarmuid [1 ]
Rossiter, Peter [2 ]
机构
[1] Univ Technol Sydney, Sch Med & Mol Biosci, Sydney, NSW 2007, Australia
[2] Forge Grp, Sydney, NSW 2007, Australia
基金
澳大利亚研究理事会;
关键词
Face detection; eye blink detection; fatigue; computer vision;
D O I
10.2478/v10177-010-0062-8
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Long duration driving is a significant cause of fatigue related accidents of cars, airplanes, trains and other means of transport. This paper presents a design of a detection system which can be used to detect fatigue in drivers. The system is based on computer vision with main focus on eye blink rate. We propose an algorithm for eye detection that is conducted through a process of extracting the face image from the video image followed by evaluating the eye region and then eventually detecting the iris of the eye using the binary image. The advantage of this system is that the algorithm works without any constraint of the background as the face is detected using a skin segmentation technique. The detection performance of this system was tested using video images which were recorded under laboratory conditions. The applicability of the system is discussed in light of fatigue detection for drivers.
引用
收藏
页码:457 / 461
页数:5
相关论文
共 50 条
  • [41] An Offbeat Technique for Diabetic Retinopathy Detection using Computer Vision
    Chakrabarty, Navoneel
    Chatterjee, Subhrasankar
    2019 10TH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT), 2019,
  • [42] Automated Detection of Eye Tics Using a Computer Vision Approach
    Conelea, Christine
    Apostolou, Petros
    DuBois, Megan
    Kellman, Mia
    Raab, Brittany
    Pryor, Alison
    Jacob, Suma
    Papanikolopoulos, Nikos
    Lim, Kelvin
    NEUROPSYCHOPHARMACOLOGY, 2021, 46 (SUPPL 1) : 300 - 300
  • [43] Robust contact detection in micromanipulation using computer vision microscopy
    Wang, W. H.
    Liu, X. Y.
    Sun, Y.
    2006 28TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-15, 2006, : 2957 - +
  • [44] Detection of coffee fruits on tree branches using computer vision
    Bazame, Helizani Couto
    Molin, Jose Paulo
    Althoff, Daniel
    Martello, Mauricio
    SCIENTIA AGRICOLA, 2023, 80
  • [45] Automatic detection of hand hygiene using computer vision technology
    Singh, Amit
    Haque, Albert
    Alahi, Alexandre
    Yeung, Serena
    Guo, Michelle
    Glassman, Jill R.
    Beninati, William
    Platchek, Terry
    Li Fei-Fei
    Milstein, Arnold
    JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2020, 27 (08) : 1316 - 1320
  • [46] PCB Component Detection Using Computer Vision for Hardware Assurance
    Zhao, Wenwei
    Gurudu, Suprith Reddy
    Taheri, Shayan
    Ghosh, Shajib
    Sathiaseelan, Mukhil Azhagan Mallaiyan
    Asadizanjani, Navid
    BIG DATA AND COGNITIVE COMPUTING, 2022, 6 (02)
  • [47] Computer vision haemorrhage detection
    Sabater-Navarro, J. M.
    Garcia Martinez, A.
    Vicente Samper, J. M.
    Juan Poveda, C. G.
    Gil, M.
    BRITISH JOURNAL OF SURGERY, 2017, 104 : 24 - 24
  • [48] Action Detection System For Alerting Driver Using Computer Vision
    Khoo, Chia Hong
    Lau, Phooi Yee
    INTERNATIONAL WORKSHOP ON ADVANCED IMAGING TECHNOLOGY (IWAIT) 2022, 2022, 12177
  • [49] Apple Fruit Detection and Counting Using Computer Vision Techniques
    Syal, Anisha
    Garg, Divya
    Sharma, Shanu
    2014 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH (IEEE ICCIC), 2014, : 1113 - 1118
  • [50] Object detection for computer vision using a robust genetic algorithm
    Centeno, TM
    Lopes, HS
    Felisberto, MK
    de Arruda, LVR
    APPLICATIONS OF EVOLUTIONARY COMPUTING, PROCEEDINGS, 2005, 3449 : 284 - 293