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Outdoor Human Motion Capture by Simultaneous Optimization of Pose and Camera Parameters

A. Elhayek, C. Stoll, K. I. Kim, C. Theobalt
2014 Computer graphics forum (Print)  
Our algorithm simultaneously reconstructs the skeletal pose parameters of multiple performers and the motion of each camera.  ...  Abstract We present a method for capturing the skeletal motions of humans using a sparse set of potentially moving cameras in an uncontrolled environment.  ...  Theobalt / Outdoor Human Motion Capture by Simultaneous Optimization of Pose and Camera Parameters  ... 
doi:10.1111/cgf.12519 fatcat:edsdqmdvf5ezdbxvdmoltvythu

General Automatic Human Shape and Motion Capture Using Volumetric Contour Cues [article]

Helge Rhodin, Nadia Robertini, Dan Casas, Christian Richardt, Hans-Peter Seidel, Christian Theobalt
2016 arXiv   pre-print
Given any multi-view sequence, our method jointly optimizes the pose and shape parameters of this model fully automatically in a spatiotemporal way.  ...  The approach is rigorously designed to work on footage of general outdoor scenes recorded with very few cameras and without background subtraction.  ...  This research was funded by the ERC Starting Grant project CapReal (335545).  ... 
arXiv:1607.08659v2 fatcat:ye37f3vy7jgp5fsvekw7mcwe7m

A Survey on Human Performance Capture and Animation

Shihong Xia, Lin Gao, Yu-Kun Lai, Ming-Ze Yuan, Jinxiang Chai
2017 Journal of Computer Science and Technology  
Key research problems include how to capture and analyze static geometric appearance and dynamic movement of human bodies, and how to simulate human body motions with physical effects.  ...  Human performance mainly involves human body shapes and motions.  ...  [14] developed a system for fast capture of 3D human body with desired accuracy by optimizing the configuration and locations of RGB-D cameras.  ... 
doi:10.1007/s11390-017-1742-y fatcat:kxfoylv535axtnpj6iaqda3mz4

HSC4D: Human-centered 4D Scene Capture in Large-scale Indoor-outdoor Space Using Wearable IMUs and LiDAR [article]

Yudi Dai, Yitai Lin, Chenglu Wen, Siqi Shen, Lan Xu, Jingyi Yu, Yuexin Ma, Cheng Wang
2022 arXiv   pre-print
complement each other by a joint optimization and achieves promising results for long-term capture.  ...  We propose Human-centered 4D Scene Capture (HSC4D) to accurately and efficiently create a dynamic digital world, containing large-scale indoor-outdoor scenes, diverse human motions, and rich interactions  ...  Hybrid-Fusion [54] has achieved more accurate motion tracking performance by combining an RGBD camera with multiple IMUs. 3DPW [39] uses a single hand-held RGB camera and IMUs to optimize human pose  ... 
arXiv:2203.09215v2 fatcat:e3ku6vmeszahjcyi3hqcj56mw4

Full Body Performance Capture under Uncontrolled and Varying Illumination: A Shading-Based Approach [chapter]

Chenglei Wu, Kiran Varanasi, Christian Theobalt
2012 Lecture Notes in Computer Science  
This paper presents a marker-less method for full body human performance capture by analyzing shading information from a sequence of multi-view images, which are recorded under uncontrolled and changing  ...  The incident illumination at each frame are estimated jointly with pose, by assuming the Lambertian model of reflectance.  ...  We present a new theoretical formulation of performance capture that simultaneously recovers human articulated motion and time-varying incident illumination, by a minimization of shading-based error. 2  ... 
doi:10.1007/978-3-642-33765-9_54 fatcat:eebqrtpke5faljmaj6y6ve566m

EgoCap: Egocentric Marker-less Motion Capture with Two Fisheye Cameras (Extended Abstract) [article]

Helge Rhodin, Christian Richardt, Dan Casas, Eldar Insafutdinov, Mohammad Shafiei, Hans-Peter Seidel, Bernt Schiele, Christian Theobalt
2016 arXiv   pre-print
Our inside-in method captures full-body motion in general indoor and outdoor scenes, and also crowded scenes.  ...  We therefore propose a new method for real-time, marker-less and egocentric motion capture which estimates the full-body skeleton pose from a lightweight stereo pair of fisheye cameras that are attached  ...  Acknowledgements This research was funded by the ERC Starting Grant project CapReal (335545).  ... 
arXiv:1701.00142v1 fatcat:aykkmmhqarasjgxbf3qtxssflu

Motion capture from body-mounted cameras

Takaaki Shiratori, Hyun Soo Park, Leonid Sigal, Yaser Sheikh, Jessica K. Hodgins
2011 ACM Transactions on Graphics  
Outward-looking cameras are attached to the limbs of the subject, and the joint angles and root pose are estimated through non-linear optimization.  ...  This restriction precludes the capture of motions that require an outdoor setting or the traversal of large areas.  ...  We would also like to thank Moshe Mahler, Valeria Reznitskaya, and Matthew Kaemmerer for their help in modeling and rendering, and Justin Macey for his help in recording the motion capture data.  ... 
doi:10.1145/2010324.1964926 fatcat:oruey2767jbppp5bvcb6qwbnuy

Motion capture from body-mounted cameras

Takaaki Shiratori, Hyun Soo Park, Leonid Sigal, Yaser Sheikh, Jessica K. Hodgins
2011 ACM SIGGRAPH 2011 papers on - SIGGRAPH '11  
Outward-looking cameras are attached to the limbs of the subject, and the joint angles and root pose are estimated through non-linear optimization.  ...  This restriction precludes the capture of motions that require an outdoor setting or the traversal of large areas.  ...  We would also like to thank Moshe Mahler, Valeria Reznitskaya, and Matthew Kaemmerer for their help in modeling and rendering, and Justin Macey for his help in recording the motion capture data.  ... 
doi:10.1145/1964921.1964926 fatcat:5ujb5rclwranfawpdom2bs47ly

FlyCap: Markerless Motion Capture Using Multiple Autonomous Flying Cameras [article]

Lan Xu, Lu Fang, Wei Cheng, Kaiwen Guo, Guyue Zhou, Qionghai Dai, and Yebin Liu
2016 arXiv   pre-print
We propose a novel non-rigid surface registration method to track and fuse the depth of the three flying cameras for surface motion tracking of the moving target, and simultaneously calculate the pose  ...  Aiming at automatic, convenient and non-instrusive motion capture, this paper presents a new generation markerless motion capture technique, the FlyCap system, to capture surface motions of moving characters  ...  In this section, we propose a unified optimization to solve all the global flying camera poses and the non-rigid deformation of the target human body simultaneously, treating both the moving cameras and  ... 
arXiv:1610.09534v3 fatcat:mxtzspgpt5bepld2pfv4hz73fm

Recovering 3D Human Poses and Camera Motions from Deep Sequence

Takashi Shimizu, Fumihiko Sakaue, Jun Sato
2018 Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications  
In this paper, we propose a novel method for recovering 3D human poses and camera motions from sequential images by using CNN and LSTM.  ...  In this paper, we propose a method for recovering 3D human poses and 3D camera motions simultaneously from sequential input images.  ...  EXPERIMENTS We next show the results of simultaneous estimation of human poses and camera motions by using the proposed network.  ... 
doi:10.5220/0006718603930398 dblp:conf/visapp/ShimizuSS18 fatcat:toif5dwz4vc5pmmvx7gc5emmoe

Efficient ConvNet-based marker-less motion capture in general scenes with a low number of cameras

A. Elhayek, E. de Aguiar, A. Jain, J. Tompson, L. Pishchulin, M. Andriluka, C. Bregler, B. Schiele, C. Theobalt
2015 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
We present a novel method for accurate marker-less capture of articulated skeleton motion of several subjects in general scenes, indoors and outdoors, even from input filmed with as few as two cameras.  ...  In combination, this enables to track full articulated joint angles at state-of-the-art accuracy and temporal stability with a very low number of cameras.  ...  Acknowledgments: This research was funded by the ERC Starting Grant project CapReal (335545) and the Max Planck Center for Visual Computing and Communication.  ... 
doi:10.1109/cvpr.2015.7299005 dblp:conf/cvpr/ElhayekAJTPABST15 fatcat:xbyvdqf7czh5lfuq6wyotg3ioe

EgoCap: Egocentric Marker-less Motion Capture with Two Fisheye Cameras [article]

Helge Rhodin, Christian Richardt, Dan Casas, Eldar Insafutdinov, Mohammad Shafiei, Hans-Peter Seidel, Bernt Schiele, Christian Theobalt
2016 arXiv   pre-print
We therefore propose a new method for real-time, marker-less and egocentric motion capture which estimates the full-body skeleton pose from a lightweight stereo pair of fisheye cameras that are attached  ...  Marker-based and marker-less optical skeletal motion-capture methods use an outside-in arrangement of cameras placed around a scene, with viewpoints converging on the center.  ...  This research was funded by the ERC Starting Grant project CapReal (335545).  ... 
arXiv:1609.07306v1 fatcat:xatetlqtpbbsbclzgv3ik2fxee

EgoCap

Helge Rhodin, Christian Richardt, Dan Casas, Eldar Insafutdinov, Mohammad Shafiei, Hans-Peter Seidel, Bernt Schiele, Christian Theobalt
2016 ACM Transactions on Graphics  
Therefore, we propose a new method for real-time, marker-less, and egocentric motion capture: estimating the full-body skeleton pose from a lightweight stereo pair of fisheye cameras attached to a helmet  ...  Marker-based and marker-less optical skeletal motion-capture methods use an outside-in arrangement of cameras placed around a scene, with viewpoints converging on the center.  ...  This research was funded by the ERC Starting Grant project CapReal (335545).  ... 
doi:10.1145/2980179.2980235 fatcat:kx3rcoljurb3xgewan4acsb2qa

Pose and motion capture technologies

Arun Fabian Panaite, Sebastian Rosca, Remus Sibişanu, M. Lazar, F. Faur, M. Popescu-Stelea
2021 MATEC Web of Conferences  
The same way the parameters and formulas are being calculated for a robot's movement, motion can be captured, and the key position parameters can be selected, and implemented on the movement, while not  ...  Because the motion capture data isn't calculated, but only captured, the compression algorithms may result in mathematical formulas of motion, which can be the same formulas of calculating the motion synthetically  ...  Marker-less motion tracking and correction for PET, MRI, and simultaneous PET/MRI was a demonstration and evaluation of the first marker-less motion tracker compatible with PET, MRI and simultaneous PET  ... 
doi:10.1051/matecconf/202134205004 fatcat:bvdpyhncybbf5o5gixebrdr52m

Real-Time Full-Body Motion Capture from Video and IMUs

Charles Malleson, Andrew Gilbert, Matthew Trumble, John Collomosse, Adrian Hilton, Marco Volino
2017 2017 International Conference on 3D Vision (3DV)  
A real-time optimization-based framework is proposed which incorporates constraints from the IMUs, cameras and a prior pose model.  ...  The results demonstrate the effectiveness of the approach for tracking a wide range of human motion in real time in unconstrained indoor/outdoor scenes.  ...  Acknowledgements This work was supported by the Innovate UK Total Capture project (grant 102685) and the EU H2020 Visual Media project (grant 687800).  ... 
doi:10.1109/3dv.2017.00058 dblp:conf/3dim/MallesonGTCHV17 fatcat:bu7tp6rqhjcvbg62i7d27kpxjy
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