Real Time Analysis on Bus Passenger for Unmanned Door Operation using Overhead Fisheye Cameras

Masayuki Yamazaki, Kei Tsuji, Eigo Mori
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Abstract

In this study, we propose a robust method for ensuring safe unmanned bus door operation using commonly available surveillance cameras. Bus door operation is a critical function of bus services because passengers can be injured unless they work appropriately. Our method leverages only image processing technologies and is composed of an object detector, an optical flow analyzer, and a pose estimator. We carefully combined the modules so that they judged the readiness of the door operation accurately and in real time. We confirmed that our proposed method can ensure safe bus door operation using only two industry fisheye surveillance cameras installed on a modified Toyota Coaster microbus. Our system runs at 10 fps using a commonly available GPU desktop.
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基于头顶鱼眼摄像机的无人驾驶客车乘客实时分析
在这项研究中,我们提出了一种鲁棒的方法来确保无人驾驶巴士门的安全操作,使用常见的监控摄像头。车门操作是巴士服务的一个重要功能,因为如果不适当操作,乘客可能会受伤。我们的方法仅利用图像处理技术,由目标检测器、光流分析仪和姿态估计器组成。我们仔细地组合了模块,使他们能够准确、实时地判断门的操作准备情况。我们证实了我们提出的方法可以确保安全的车门操作,仅使用安装在改装的丰田过山车微型巴士上的两个行业鱼眼监控摄像头。我们的系统使用常用的GPU桌面以10 fps的速度运行。
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