MoVi: A Large Multipurpose Motion and Video Dataset
This dataset addresses the need for comprehensive, publicly available motion and video data for researchers and practitioners in fields such as computer vision and animation, though it is incremental as it builds on existing dataset efforts.
The authors introduced MoVi, a large multipurpose dataset containing 9 hours of motion capture, 17 hours of video, and 6.6 hours of IMU data from 90 actors performing everyday and sports movements, captured with different hardware and clothing conditions, to facilitate studies in human movement analysis and applications like character animation.
Human movements are both an area of intense study and the basis of many applications such as character animation. For many applications, it is crucial to identify movements from videos or analyze datasets of movements. Here we introduce a new human Motion and Video dataset MoVi, which we make available publicly. It contains 60 female and 30 male actors performing a collection of 20 predefined everyday actions and sports movements, and one self-chosen movement. In five capture rounds, the same actors and movements were recorded using different hardware systems, including an optical motion capture system, video cameras, and inertial measurement units (IMU). For some of the capture rounds, the actors were recorded when wearing natural clothing, for the other rounds they wore minimal clothing. In total, our dataset contains 9 hours of motion capture data, 17 hours of video data from 4 different points of view (including one hand-held camera), and 6.6 hours of IMU data. In this paper, we describe how the dataset was collected and post-processed; We present state-of-the-art estimates of skeletal motions and full-body shape deformations associated with skeletal motion. We discuss examples for potential studies this dataset could enable.