Markerless Outdoor Human Motion Capture Using Multiple Autonomous Micro Aerial Vehicles

被引:20
|
作者
Saini, Nitin [1 ]
Price, Eric [1 ]
Tallamraju, Rahul [1 ,3 ]
Enficiaud, Raffi [2 ]
Ludwig, Roman [1 ]
Martinovic, Igor [1 ]
Ahmad, Aamir [1 ]
Black, Michael J. [1 ]
机构
[1] Max Planck Inst Intelligent Syst, Tubingen, Germany
[2] Pix4D, Berlin, Germany
[3] Int Inst Informat Technol, Agents & Appl Robot Grp, Hyderabad, India
关键词
POSE;
D O I
10.1109/ICCV.2019.00091
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Capturing human motion in natural scenarios means moving motion capture out of the lab and into the wild. Typical approaches rely on fixed, calibrated, cameras and reflective markers on the body, significantly limiting the motions that can be captured. To make motion capture truly unconstrained, we describe the first fully autonomous outdoor capture system based on flying vehicles. We use multiple micro-aerial-vehicles(MAVs), each equipped with a monocular RGB camera, an IMU, and a GPS receiver module. These detect the person, optimize their position, and localize themselves approximately. We then develop a markerless motion capture method that is suitable for this challenging scenario with a distant subject, viewed from above, with approximately calibrated and moving cameras. We combine multiple state-of-the-art 2D joint detectors with a 3D human body model and a powerful prior on human pose. We jointly optimize for 3D body pose and camera pose to robustly fit the 2D measurements. To our knowledge, this is the first successful demonstration of outdoor, full-body, markerless motion capture from autonomous flying vehicles.
引用
收藏
页码:823 / 832
页数:10
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