Pedestrian Counting Based on Pyramid Optical Flows Clustering of Corner Point
Fang Ming Liu, Ren Yun Zhou · Applied Mechanics and Materials · 2014
For the public places, statistical analysis of pedestrian traffic can be used for pedestrian flow rate distribution in time and space. The effective analysis personnel density can be used as important data for the improvement of the public places software and hardware facilities. In this paper, we introduce a method based on Pyramid optical flows clustering of corner point to improve the counting accuracy. We also report that using length clustering, angle clustering and original location clustering to enhance the counting accuracy.