Automated detection of people distribution by A 3D camera
Kiyotaka Ho, Kazuhiko Taniguchi, K. Vijayan Asari, Kei Kuramoto, Syoji Kobashi, Yutaka Hata · World Automation Congress · 2010
This paper describes a method for distribution of people monitoring system using a 3D camera. This camera measures distance and intensity distribution based on time of flight (TOF). From the obtained distance data, we perform clustering processing to detect the distribution of people. In our method, fuzzy logic plays a primary role to decide the cluster, i.e., people number. Our proposed method applied for 120 sec in a room. We successfully detected distribution of people in a room for moving 3 people distribution. Consequently, our proposed method successfully detected distribution of people using automated cluster number determination.