主催: 一般社団法人 日本機械学会
会議名: ロボティクス・メカトロニクス 講演会2024
開催日: 2024/05/29 - 2024/06/01
In this paper, we propose a method for multiple people tracking, identification and action recognition in a room using 2D-LDIAR at waist height. The method estimates the positions of multiple people by particle filter and, enables simultaneous person identification among 4 people and action recognition among 4 actions(standing, sitting, walking and door opening/closing). As an experiment, two people walked in a room. The RMSE of position estimation without occlusion was 0.229 m, and with occlusion was 0.307 m. These results indicate that our method have sufficient capability for human position estimation. While the accuracies of person identification and action recognition were over 90% in single person case, the accuracies in two people case showed 67% for person identification and 50% for action recognition. There is a room for improvement in multiple people case.