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Outdoor Human Motion Capture by Simultaneous Optimization of Pose and Camera Parameters
2014
Computer graphics forum (Print)
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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]
2016
arXiv
pre-print
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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
2017
Journal of Computer Science and Technology
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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]
2022
arXiv
pre-print
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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]
2012
Lecture Notes in Computer Science
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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]
2016
arXiv
pre-print
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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
2011
ACM Transactions on Graphics
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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
2011
ACM SIGGRAPH 2011 papers on - SIGGRAPH '11
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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]
2016
arXiv
pre-print
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2016 pre-print arXiv:1610.09534v2 fatcat:5uhtaj7wyvfkfjbzmig6ly6pd4Other Versions
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
2018
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
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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
2015
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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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]
2016
arXiv
pre-print
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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
2016
ACM Transactions on Graphics
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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
2021
MATEC Web of Conferences
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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
2017
2017 International Conference on 3D Vision (3DV)
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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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