Development of a person counting system using a 3D laser scanner


The purpose of the present study is to develop a person counting system using a 3D laser scanner. The system consists of a person-detection component, a tracking component, and a counting component. The person-detection component detects human bodies as a point cloud, even if a number of people are close to each other. To achieve this, we use a method of grouping the point cloud towards the bottom from the top. The tracking component tracks the detected person using a Kalman filter. The counting component counts the number of people who enter and exit a structure. Experimental results obtained in the present study reveal that the proposed system can recognize individual pedestrians and count the number of people passing through crowded outdoor environments.

2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014)