Ski-Pose PTZ-Camera

Introduced by Rhodin et al. in Learning Monocular 3D Human Pose Estimation from Multi-view Images

This multi-view pant-tilt-zoom-camera (PTZ) dataset features competitive alpine skiers performing giant slalom runs. It provides labels for the skiers’ 3D poses in each frame, their projected 2D pose in all 20k images, and accurate per-frame calibration of the PTZ cameras. The dataset was collected by Spörri and Colleagues within his Habilitation at the Department of Sport Science and Kinesiology of the University of Salzburg [Spörri16], and was previously used as a reference in different methodological studies [Gilgien13, Gilgien14, Gilgien 15, Fasel16, Fasel18, Rhodin18]. Moreover, upon request the dataset would be available to interested researchers for further methodological-orientated research purposes.


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