The high frame rate is a critical requirement for capturing fast human motions. In this setting,
existing markerless image-based methods are constrained by the lighting requirement, the
high data bandwidth and the consequent high computation overhead. In this paper, we
propose EventCap--the first approach for 3D capturing of high-speed human motions using
a single event camera. Our method combines model-based optimization and CNN-based
human pose detection to capture high frequency motion details and to reduce the drifting in …

Our EventCap dataset consists of 12 sequences of 6 actors performing challenging fast non-
linear motions. The basic statistics related to both the event camera and the reference
camera for each sequence are reported in Table. 1. For 6 sequences in our dataset, we
provide high resolution reference images captured at high frame rate. The reference images
of the “wave” sequence are captured using one camera from the multi-view markerless
motion capture system [1] at 100 fps, which provides accurate 3D motions of the actors for …