MoLa InVicon AR: Dataset for Action Recognition

This system is then spatially and temporally calibrated with the camera sensor, automatically obtaining image data with (multi-person) pose annotations (2D and 3D). Finally, we demonstrate the feasibility of using the system’s generated data (which was made publicly available), this dataset for human action recognition focuses on violence and normal (non-violent) actions inside the vehicle, which is composed of 16 subjects and contains 6 400 video samples and more than 3.5 million frames. The dataset contains 58 different action classes including violent and normal (non-violent) activities.

随后，该系统借助相机传感器完成空间与时间校准，自动采集带有（多人）姿态标注（二维与三维）的图像数据。最终，我们验证了使用该系统生成的公开可用数据的可行性：本用于人体动作识别的数据集聚焦车内暴力与正常（非暴力）行为，由16名受试者构成，包含6400个视频样本及超过350万帧画面。该数据集共涵盖58种不同的动作类别，包含暴力与正常（非暴力）活动。