Driver Face Monitoring using a Near-Infrared Camera

M. Fukumi (Japan)


- Near-infrared camera, Face direction, Monitoring, Template matching, Neural network


- This paper presents a method for driver face monitoring which includes face detection and estimation of its direction. In particular, the present method tries to extract a face from gray scale images obtained using a near-infrared camera, which is equipped in the top of the automobile windshield. This method is based on a template matching (SSDA method) with multi templates and a neural network (NN) for face detection. After template matching, NN tries to recognize a face and its direction. Furthermore, the simple PCA is used to yield features suitable for face detection. From results of computer simulations, it is shown that our approach can give a good result for vehicle driver face monitoring.

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