论文标题
乘客座椅可用性的框架使用乘客巴士中的面部检测
Framework for Passenger Seat Availability Using Face Detection in Passenger Bus
论文作者
论文摘要
智能运输系统（IES）的进步通过提供公共汽车到达时间的信息系统并计算城市中的乘客和公交车的数量来改善乘客的旅行。乘客仍然面临公共汽车的等待和座位不可用的问题，这些问题会对交通管理和控制权授权产生不利影响。我们提出了一个基于面部探测的框架（FDF），以通过面部检测确定配备摄像头的公共汽车中的乘客座椅可用性，该面部检测基于背景扣除，以计算空，填充和总座位。 FDF具有集成的智能手机乘客应用程序（PA），以识别最近的公交车站。我们在实时测试环境中评估FDF，结果表明它具有90％的精度。我们认为，我们的结果有可能解决交通管理问题并协助乘客节省宝贵的时间
Advancements in Intelligent Transportation System (IES) improve passenger traveling by providing information systems for bus arrival time and counting the number of passengers and buses in cities. Passengers still face bus waiting and seat unavailability issues which have adverse effects on traffic management and controlling authority. We propose a Face Detection based Framework (FDF) to determine passenger seat availability in a camera-equipped bus through face detection which is based on background subtraction to count empty, filled, and total seats. FDF has an integrated smartphone Passenger Application (PA) to identify the nearest bus stop. We evaluate FDF in a live test environment and results show that it gives 90% accuracy. We believe our results have the potential to address traffic management concerns and assist passengers to save their valuable time
