实时人数计数系统

摘要

描述一个实时在线人数计数系统,该系统采用检测加跟踪的方法来实现人数计数功能.在检测阶段,采用MBLBP(multi-scale block LBP)特征,从运动区域上检测出行人.该特征速度快,并且在归一化下,能够适应多尺度的应用;在跟踪阶段,通过一个概率模型,将对行人的跟踪转化为对特征点的跟踪,并且在将检测目标和跟踪目标进行一一对应时,进一步利用各个目标内的特征点来完成相应的操作.最后用实际中不同场景下的视频,对系统的性能进行测试,同时还在一段公开的视频上进行了测试,实验结果表明,该系统能够在不同场景下较准确地实现人数计数功能.%This paper describes a real-time people counting system, which combines the pedestrian detection and tracking method together for people counting. The normalized MB-LBP feature, which can be easily calculated and suitable for multi-scale detection, is adopted for detection in the foreground at the detecting stage. The points are grouped together with a probability model to track the pedestrian at the tracking stage. At the same time, these points are employed to map the detected pedestrian to the tracked pedestrian. And in order to verify the performance of the system, three experiments are designed for testing. The first two videos are captured at different locations with different backgrounds; the third video,which has been used for testing in many other papers, is used for comparison. The experiments results demonstrate that this system performs the function of counting well at different background situations.