@techreport{oai:ipsj.ixsq.nii.ac.jp:00232697,
 author = {小西, 陸斗 and 阿部, 亨 and 中村, 隆喜 and 菅沼, 拓夫 and Rikuto, Konishi and Toru, Abe and Takaki, Nakamura and Takuo, Suganuma},
 issue = {6},
 month = {Feb},
 note = {本稿では，人物が手で物体を動かす動作を映像から検出する手法を提案する．人物が手で物体を動かす動作は，人物と物体のインタラクションにおいて中心的な役割を果たし，人物と物体の接触を示す確実な手がかりとしても重要である．このような特定の動作の検出を目的とする場合，映像から得られる情報を適切に統合し，明示的に設計した特徴を用いれば，検出モデル構築のための学習や構築したモデルを用いた検出を効果的に行うことが期待できる．提案手法では，人物の手で動かされる物体は人物の前腕と同様の動きを示すことに着目し，前腕の動きに類似した動きが手の周辺に生じているかを判定することで人物が手で物体を動かす動作の検出を行う．その際，映像から得られる人物の骨格情報や運動情報に基づき，手周辺と前腕の動きの類似性を評価する特徴量を設計し判定に用いる．, This article proposes a method to detect the action of a person moving an object with their hand from video. This type of action plays a central role in human-object interaction, and is also important as a reliable clue indicating contact between a person and an object. To detect such specific action, it can be expected that using features designed to integrate information obtained from the video makes learning detection models and detection by these models more efficient. The proposed method focuses on the fact that an object moved by a person's hand shows movements similar to those of their forearm, and detects the hand moving an object by determining whether the similar movements as the forearm occur around the hand. In our method, we design the similarity with forearm movements based on person's skeleton and motion information obtained from the video, and use it as features for the detection.},
 title = {人物が手で物体を動かす動作の検出手法},
 year = {2024}
}