A Passenger Counting Method Based on Stereovision
一种基于立体视觉的公交车客流计数方法

A passenger counting method is proposed in this paper based on binocular stereovision for collecting the real-time passenger data in public transport.This counting method involves three blocks: moving object detection,object labeling,object matching and counting.Object detection is the vital issue of the counting system.A row frame difference method is firstly adopted to detect possible moving objects.Then,the facticity of each possible object is judged based on disparity analysis.Experimental results show that the proposed method can obtain an on-spot counting accuracy of 92% tested on a large data set capturing from simulated scenarios in laboratory and on moving buses.This approach is effective to avoid illumination changes and shadow of passengers.