论文标题
实时在线骨骼提取和辣椒的手势识别
Real-Time Online Skeleton Extraction and Gesture Recognition on Pepper
论文作者
论文摘要
我们提出了一个多阶段管道，用于简单的手势识别。我们方法的新颖性是不同技术的关联，到目前为止，第一个实时系统可以共同提取骨骼并在胡椒机器人上识别手势。为了完成这项任务，Pepper用嵌入式GPU进行了增强，用于运行深CNN和鱼眼相机，以捕捉整个场景的互动。我们在本文中表明，实际情况是具有挑战性的，而最先进的方法几乎不涉及未知的人类手势。我们在这里提出一种处理此类案件的方法。
We present a multi-stage pipeline for simple gesture recognition. The novelty of our approach is the association of different technologies, resulting in the first real-time system as of now to conjointly extract skeletons and recognise gesture on a Pepper robot. For this task, Pepper has been augmented with an embedded GPU for running deep CNNs and a fish-eye camera to capture whole scene interaction. We show in this article that real-case scenarios are challenging, and the state-of-the-art approaches hardly deal with unknown human gestures. We present here a way to handle such cases.
