Moving Object Activator in Background Subtraction Algorithm for Automatic Passenger Counter System in Public Transportation

Gita Hapsari, Giva Andriana Mutiara, M. R. Alfarisi, Lisda Meisaroh, Fanny Husnul Hanifa, Ramadhanu Putra, Dimas Salim, Aris Pujud Kurniawan
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Abstract

Buses are the most used transportation by people in Indonesia when traveling between cities. However, to improve passenger comfort, a tool is required to determine the number of passengers on the bus. This research presents an automated system to count the number of passengers based on a background subtraction algorithm and moving object activator.  This research aims to provide the number of passengers based on video images taken from the entranceway. The system is built with a camera, Raspberry Pi, and LCD. The APC system starts the counting process by removing the video background image from the captured object image. The entry and exit direction of the object is determined using the concept of moving object activator. The experiments were applied in several scenarios to determine the robustness of the system. The best APC performance was achieved when the system is positioned perpendicularly above the entranceway at a height of 230 cm and a light intensity of 800-1000 lux. Meanwhile, the moving object activator is effective in supporting the system's performance to determine the passenger's direction. In this scenario, the results stated that the accuracy of APC system performance reached 93.8%.
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公共交通乘客自动计数系统背景减影算法中的移动物体激活器
公共汽车是印度尼西亚人在城市间旅行时最常用的交通工具。然而,为了提高乘客的舒适度,需要一种工具来确定公共汽车上的乘客人数。本研究提出了一种基于背景减法算法和移动物体激活器的自动乘客人数统计系统。 这项研究旨在根据从入口处拍摄的视频图像提供乘客人数。该系统由摄像头、Raspberry Pi 和 LCD 组成。APC 系统通过从捕捉到的物体图像中移除视频背景图像来启动计数过程。利用移动物体激活器的概念确定物体的进出方向。实验应用于多种场景,以确定系统的鲁棒性。当系统垂直放置在入口上方 230 厘米处,光照强度为 800-1000 勒克斯时,APC 性能最佳。同时,移动物体激活器能有效支持系统确定乘客方向的性能。在这种情况下,结果表明 APC 系统的准确率达到了 93.8%。
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