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Jun, 2024
人机交互场景中基于无标记多人跟踪的鲁棒滤波器
A Robust Filter for Marker-less Multi-person Tracking in Human-Robot Interaction Scenarios
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Enrico Martini, Harshil Parekh, Shaoting Peng, Nicola Bombieri, Nadia Figueroa
TL;DR
提出了一种筛选流程，通过对不完整的3D人体姿势进行优化，解决了人体姿势估计和深度相机带来的挑战，减少了机器人的抖动，实现了更一致、无噪音的动作表达，降低了意外的机器人运动，提供更流畅的互动。
Abstract
Pursuing natural and
marker-less
human-robot interaction
(HRI) has been a long-standing robotics research focus, driven by the vision of seamless collaboration without physical markers.
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