一种基于视频的公交客流计数方法

采用一种行时空图处理方法设计一种公交乘客计数系统,克服传统的光流法和帧差法提取运动目标所存在着的数据量大、实时处理能力差、抗干扰能力差的缺陷。该系统包括行时空图的生成,运动目标的提取、识别、匹配和计数等部分。实验结果表明统计数据有较高的准确率,并能很好地满足实时性要求。该系统识别鲁棒性好、运算数据量小、在移植至硬件时对硬件的性能要求很低,可以很好地控制软硬件成本。

Video - based Method for Bus Passenger Counting

In order to overcome the limitations of real-time processing,large amount of data and anti-jamming for the traditional optical-flow or frame-difference methods to extract moving objects from image sequences.The paper proposes a passenger counting system which adopts a row space-time image method.The system includes the generation of row space-time images,moving objects extraction,recognition,matching and counting.The experiment results show that the system has high recognition accuracy,and meets the demand of real-time processing.The new characteristic is robust recognition and low computational complexity.The hardware capability required is not so high that the costs of hardware and software are easy to control.