Stereo Vision and Statistical Based Behaviour Prediction of Driver
Stereo Vision and Statistical Based Behaviour Prediction of Driver
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DOI：
10.1109/ivs.2007.4290191
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发表时间：
2007-06
期刊：
影响因子：
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通讯作者：
H. Eren;Ümit Çelik;M. Poyraz
中科院分区：
文献类型：
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作者：
H. Eren;Ümit Çelik;M. Poyraz
本项目的目标是开发一个基于网络摄像头的系统，用于监控汽车驾驶员的活动。与部署用于监控驾驶员活动的任何系统一样，主要目标是区分安全和不安全的驾驶行为。没有一个固定的行为清单来界定不安全的驾驶行为。一般来说，降低驾驶员对周围环境的警觉性的活动或动作应被归类为不安全驾驶行为。不安全驾驶行为的一些例子包括疲劳，打手机，吃东西，以及在驾驶时调整仪表板立体声的控制。在这项研究中，我们还研究了2D和3D人脸和姿态识别之间的关系。
The goal of this project is to develop a Webcam-based system for monitoring the activities of automobile drivers. As in any system deployed for monitoring driver activities, the primary goal is to distinguish between safe and unsafe driving actions. There is no fixed list of actions that qualifies the unsafe driving behaviors. In general, an activity or an action that reduces a driver's alertness of their surroundings should be classified as unsafe driving behavior. Some examples of unsafe driving behavior include fatigue, talking on a cellular telephone, eating, and adjusting the controls of the dashboard stereo while driving. In this study, we also investigated the relationship between 2D and 3D face and pose recognition.