基于注视估计的驾驶员分心检测

2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) Pub Date : 2016-09-01 DOI:10.1109/ICACCI.2016.7732431

Shweta Maralappanavar, R. Behera, U. Mudenagudi

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引用次数: 12

摘要

司机很容易被周围发生的事情分心，比如发短信、打电话或和邻居说话。所有这些活动都将驾驶员的注意力从道路上转移开，可能导致事故，对驾驶员，行人和道路上的其他车辆造成伤害。本文提出了一种估计驾驶员视线并判断驾驶员是否分心的方法。司机的目光方向被认为是他注意力集中的一个指标。驾驶员的注视估计是通过面部、眼睛、瞳孔、眼角的注视检测来完成的，然后将检测到的注视分类为驾驶员是否分心。该算法是在OpenCV环境下开发的，并在CPU平台(Intel core with 4gb RAM)上进行了测试。执行单个帧所需的处理时间约为1秒。得到的凝视检测准确率为75%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Driver's distraction detection based on gaze estimation

Drivers easily get distracted by the activities happening around them such as texting, talking on mobile phone or talking to the neighbouring person. All these activities take driver's attention away from the road which may lead to accidents, cause harm to the driver, pedestrians and also other vehicles on the road. In this paper, a method is proposed to estimate the gaze of the driver and determine whether the driver is distracted or not. Driver's gaze direction is estimated as an indicator of his attentiveness. The driver's gaze estimation is done by detecting the gaze with the help of face, eye, pupil, eye corners and then the detected gaze is then categorized as whether the driver is distracted or not. The algorithm is developed in OpenCV and tested on a CPU platform (Intel core with 4 GB RAM). The processing time taken for the execution of a single frame is around one second. The gaze detection accuracy obtained is 75%.

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来源期刊

2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

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