research-article

EgoCap: egocentric marker-less motion capture with two fisheye cameras

Authors:

Christian Richardt,

Eldar Insafutdinov,

Mohammad Shafiei,

Hans-Peter Seidel,

Christian TheobaltAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 35, Issue 6

Article No.: 162, Pages 1 - 11

https://doi.org/10.1145/2980179.2980235

Published: 05 December 2016 Publication History

Abstract

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. They often create discomfort with marker suits, and their recording volume is severely restricted and often constrained to indoor scenes with controlled backgrounds. Alternative suit-based systems use several inertial measurement units or an exoskeleton to capture motion with an inside-in setup, i.e. without external sensors. This makes capture independent of a confined volume, but requires substantial, often constraining, and hard to set up body instrumentation. 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 or virtual reality headset - an optical inside-in method, so to speak. This allows full-body motion capture in general indoor and outdoor scenes, including crowded scenes with many people nearby, which enables reconstruction in larger-scale activities. Our approach combines the strength of a new generative pose estimation framework for fisheye views with a ConvNet-based body-part detector trained on a large new dataset. It is particularly useful in virtual reality to freely roam and interact, while seeing the fully motion-captured virtual body.

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Cited By

Carmona DYu H(2024)BiCap: A novel bi-modal dataset of daily living dual-arm manipulation actionsThe International Journal of Robotics Research10.1177/02783649241290836Online publication date: 12-Nov-2024
https://doi.org/10.1177/02783649241290836
Hao SChai WZhao ZSun MHu WZhou JZhao YLi QWang YLi XWang GCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)Ego3DT: Tracking Every 3D Object in Ego-centric VideosProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3680679(2945-2954)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3680679
Tsai CYen RKim DVogel D(2024)Gait Gestures: Examining Stride and Foot Strike Variation as an Input Method While WalkingProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676342(1-16)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676342
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Index Terms

EgoCap: egocentric marker-less motion capture with two fisheye cameras
1. Computing methodologies
  1. Computer graphics
    1. Animation
      1. Motion capture

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cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 35, Issue 6

November 2016

1045 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/2980179

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Published: 05 December 2016

Published in TOG Volume 35, Issue 6

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Cited By

Carmona DYu H(2024)BiCap: A novel bi-modal dataset of daily living dual-arm manipulation actionsThe International Journal of Robotics Research10.1177/02783649241290836Online publication date: 12-Nov-2024
https://doi.org/10.1177/02783649241290836
Hao SChai WZhao ZSun MHu WZhou JZhao YLi QWang YLi XWang GCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)Ego3DT: Tracking Every 3D Object in Ego-centric VideosProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3680679(2945-2954)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3680679
Tsai CYen RKim DVogel D(2024)Gait Gestures: Examining Stride and Foot Strike Variation as an Input Method While WalkingProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676342(1-16)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676342
Baek SGil YKim Y(2024)3D Human Pose Estimation Using Egocentric Depth DataProceedings of the 30th ACM Symposium on Virtual Reality Software and Technology10.1145/3641825.3689515(1-2)Online publication date: 9-Oct-2024
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Armani RQian CJiang JHolz C(2024)Ultra Inertial Poser: Scalable Motion Capture and Tracking from Sparse Inertial Sensors and Ultra-Wideband RangingACM SIGGRAPH 2024 Conference Papers10.1145/3641519.3657465(1-11)Online publication date: 13-Jul-2024
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Rastegar Sani M(2024)Situated Instructions and Guidance For Self-training and Self-coaching in SportsAdjunct Proceedings of the 26th International Conference on Mobile Human-Computer Interaction10.1145/3640471.3686644(1-4)Online publication date: 21-Sep-2024
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Grauman KWestbury ATorresani LKitani KMalik JAfouras TAshutosh KBaiyya VBansal SBoote BByrne EChavis ZChen JCheng FChu FCrane SDasgupta ADong JEscobar MForigua CGebreselasie AHaresh SHuang JIslam MJain SKhirodkar RKukreja DLiang KLiu JMajumder SMao YMartin MMavroudi ENagarajan TRagusa FRamakrishnan SSeminara LSomayazulu ASong YSu SXue ZZhang EZhang JCastillo AChen CFu XFuruta RGonzález CGupta PHu JHuang YHuang YKhoo WKumar AKuo RLakhavani SLiu MLuo MLuo ZMeredith BMiller AOguntola OPan XPeng PPramanick SRamazanova MRyan FShan WSomasundaram KSong CSoutherland ATateno MWang HWang YYagi TYan MYang XYu ZZha SZhao CZhao ZZhu ZZhuo JArbeláez PBertasius GDamen DEngel JMaria Farinella GFurnari AGhanem BHoffman JJawahar CNewcombe RPark HRehg JSato YSavva MShi JShout MWray M(2024)Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.01834(19383-19400)Online publication date: 16-Jun-2024
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