部分観測下における人間の向き推定
Human Orientation Estimation under Partial Observation
単眼画像から人の向きを推定する際、体の一部しか見えない場合でも可視関節を活用し、信頼度を考慮して精度よく推定する手法を提案。ロボットの人物追従タスクの安定性向上も実証した。
著者: Jieting Zhao, Hanjing Ye, Yu Zhan, Hao Luan, Hong Zhang
分類: cs.RO
原文アブストラクト
Reliable Human Orientation Estimation (HOE) from a monocular image is critical for autonomous agents to understand human intention. Significant progress has been made in HOE under full observation. However, the existing methods easily make a wrong prediction under partial observation and give it an unexpectedly high confidence. To solve the above problems, this study first develops a method called Part-HOE that estimates orientation from the visible joints of a target person so that it is able to handle partial observation. Subsequently, we introduce a confidence-aware orientation estimation method, enabling more accurate orientation estimation and reasonable confidence estimation under partial observation. The effectiveness of our method is validated on both public and custom-built datasets, and it shows great accuracy and reliability improvement in partial observation scenarios. In particular, we show in real experiments that our method can benefit the robustness and consistency of the Robot Person Following (RPF) task.
