Biometrical driver face verification | Zendy

Jolanta Chmielińska | Zendy; Jacek Jakubowski | Zendy

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Biometrical driver face verification

Author(s) -

Jolanta Chmielińska,

Jacek Jakubowski

Publication year - 2018

Publication title -

autobusy – technika eksploatacja systemy transportowe

Language(s) - English

Resource type - Journals

eISSN - 2450-7725

pISSN - 1509-5878

DOI - 10.24136/atest.2018.039

Subject(s) - computer science , convolutional neural network , face (sociological concept) , artificial intelligence , transfer of learning , facial recognition system , machine learning , computer vision , real time computing , pattern recognition (psychology) , social science , sociology

The paper discusses the problem of face verification in a driver monitoring system for the purpose of traffic safety. Two different methods of face verification were proposed. Both of them are based on a convolutional neural network and were developed with the use of a transfer learning technique. In the paper, the results produced by both proposed method have been presented and compared. Moreover, their advantages and disadvantages have been discussed.

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