BABEL

BABEL是一个大规模数据集，其中语言注释描述了mocap序列中正在进行的动作。BABEL包括来自AMASS数据集的约43小时mocap序列的动作注释。动作注释具有两个抽象级别-序列注释描述了序列中的整体动作，而框架注释则描述了序列每个帧中的所有动作。每个帧注释都与mocap序列中相应动作的持续时间精确对齐，并且多个动作可以重叠。

BABEL is a large-scale dataset where linguistic annotations describe the ongoing actions within motion capture (mocap) sequences. BABEL includes action annotations for approximately 43 hours of mocap sequences sourced from the AMASS dataset. The action annotations feature two levels of abstraction: sequence-level annotations depict the overall action of a sequence, whereas frame-level annotations describe all actions occurring in each frame of the sequence. Each frame-level annotation is precisely aligned with the duration of its corresponding action in the mocap sequence, and multiple actions may overlap.

搜集汇总

背景与挑战

背景概述

BABEL是一个基于AMASS数据集的大规模动作注释数据集，包含约43小时的mocap序列标注，提供序列级和帧级两种动作描述方式，其中帧注释与动作时间精确对齐并支持多动作重叠。