在客流计数中，针对目前基于普通彩色相机的图像处理受光照、人体姿态、遮挡等因素影响使系统整体性能降低等问题，提出了一种基于人体头肩三维信息检测客流的新方法，即利用人体头部与肩部空间位置关系特征以及头部形状、面积等特征检测客流。以Xtion传感器为平台，通过综合分析传感器获取的包含人体表面三维特征的深度图像，识别并跟踪人体头部，统计进出的人数。实验结果表明，这种方法不仅提高了检测的精度和效率，减少了运算数据量，实现了视频流实时处理，而且解决了基于普通彩色图像中目标检测需要建立训练库等问题。系统精度达到96%，具有实际的应用价值。

A new method of detecting passenger flow based on human head and shoulder three-dimensional information is proposed, detecting passenger flow according to spatial relationship features between head and shoulders as well as head shape, size and other characteristics, which can effectively solve system overall performance reduce problems owing to ordinary color-camera image processing being affected by light, posture, shelter and so on. With Xtion sensor as a platform, identifing and tracking human head, counting the passenger flow according to comprehensive analysis on depth image of body surface three-dimensional features. The experimental results show that this method not only improves the precision and efficiency of detection,reducing the amount of computation of data, real-time video stream can be processed, but also solves the need to establish training detection in color images. The system accuracy can be up to 96%, and has practical value.