采用了Harrtraining和离子滤波算法实现了拥挤人群人头计数，非常有用。VC++和Opencv开发，采用Oepncv中的Harrtraining训练一个分类器即可运行-Human detection and tracking in high density

crowds is an unsolved problem. Standard preprocessing techniques such

as background modeling fail when most of the scene is in motion. We

integrate human detection and tracking into a single framework, and in-

troduce a conrmation-by-classication method to estimate condence

in a tracked trajectory, track humans through occlusions, and eliminate

false positive detections.