ウェブカメラを用いた遠距離からの動的ハンドジェスチャー認識によるロボット誘導
Recognition of Dynamic Hand Gestures in Long Distance using a Web-Camera for Robot Guidance
SlowFastとTransformerを組み合わせたモデル(SFT)を提案し、ウェブカメラ映像から最大20m先の動的ジェスチャーを認識してロボットを誘導できるようにした。
著者: Eran Bamani Beeri, Eden Nissinman, Avishai Sintov
分類: cs.RO, cs.CV
原文アブストラクト
Dynamic gestures enable the transfer of directive information to a robot. Moreover, the ability of a robot to recognize them from a long distance makes communication more effective and practical. However, current state-of-the-art models for dynamic gestures exhibit limitations in recognition distance, typically achieving effective performance only within a few meters. In this work, we propose a model for recognizing dynamic gestures from a long distance of up to 20 meters. The model integrates the SlowFast and Transformer architectures (SFT) to effectively process and classify complex gesture sequences captured in video frames. SFT demonstrates superior performance over existing models.
