计算机科学 ›› 2025, Vol. 52 ›› Issue (6A): 240400192-9.doi: 10.11896/jsjkx.240400192
乐凌志1,2, 翟江涛2, 俞铭1, 孙同庆2
LE Lingzhi1,2, ZHAI Jiangtao2, YU Ming1, SUN Tongqing2
摘要： 针对等待期屏蔽门前乘客占用下客区的情况,提出了一种基于目标检测的上下客区客流指引方法。首先针对屏蔽门前场景中乘客的形状特征对目标检测网络进行改进,提出MCA-YOLOv5s网络模型。然后通过智能门楣系统的安装高度和真实场景中上下客区的范围计算出摄像头的视场角大小和安装角度,确保拍摄的图像能够准确划分出上下客区。最后分别对上下客区中的乘客进行密度估计并设计对应密度值的客流分配策略,通过智能门楣终端上的扬声器进行指引。通过在真实场景中进行测试,验证了所提方法能够快速准确地估计乘客密度。
中图分类号:
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