Monitoring Car Drivers' Condition Using Image Processing

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  • 画像処理によるドライバの運転状態の監視―個人差に配慮したドライバの意識状態の検知―
  • ガゾウ ショリ ニ ヨル ドライバ ノ ウンテン ジョウタイ ノ カンシ コジンサ ニ ハイリョ シタ ドライバ ノ イシキ ジョウタイ ノ ケンチ
  • —個人差に配慮したドライバの意識状態の検知—

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Abstract

We have developed a car driver monitoring system for measuring drivers' consciousness, with which we aim to reduce car accidents caused by drowsiness of drivers. The system consists of the following three subsystems: an image capturing system with a pulsed infrared CCD camera, a system for detecting blinking waveform by the images using a neural network with which we can extract images of face and eye areas, and a system for measuring drivers' consciousness analyzing the waveform with a fuzzy inference technique and others. The third subsystem extracts three factors from the waveform first, and analyzed them with a statistical method, while our previous system used only one factor. Our experiments showed that the three-factor method we used this time was more effective to measure drivers' consciousness than the one-factor method we described in the previous paper. Moreover, the method is more suitable for fitting parameters of the system to each individual driver.

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