The HiBall Tracker: high-performance wide-area tracking for virtual and augmented environments
Proceedings of the ACM symposium on Virtual reality software and technology
Machine Vision and Applications
Motion Tracking: No Silver Bullet, but a Respectable Arsenal
IEEE Computer Graphics and Applications
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Visual Modeling with a Hand-Held Camera
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Articulated Body Motion Capture by Stochastic Search
International Journal of Computer Vision
Photo tourism: exploring photo collections in 3D
ACM SIGGRAPH 2006 Papers
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
MonoSLAM: Real-Time Single Camera SLAM
IEEE Transactions on Pattern Analysis and Machine Intelligence
Practical motion capture in everyday surroundings
ACM SIGGRAPH 2007 papers
Prakash: lighting aware motion capture using photosensing markers and multiplexed illuminators
ACM SIGGRAPH 2007 papers
SBA: A software package for generic sparse bundle adjustment
ACM Transactions on Mathematical Software (TOMS)
EPnP: An Accurate O(n) Solution to the PnP Problem
International Journal of Computer Vision
Parallel Tracking and Mapping for Small AR Workspaces
ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
Ubiquitous human body motion capture using micro-sensors
PERCOM '09 Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications
Action capture with accelerometers
Proceedings of the 2008 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Unstructured video-based rendering: interactive exploration of casually captured videos
ACM SIGGRAPH 2010 papers
Multiple-activity human body tracking in unconstrained environments
AMDO'10 Proceedings of the 6th international conference on Articulated motion and deformable objects
Building Rome on a cloudless day
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Motion reconstruction using sparse accelerometer data
ACM Transactions on Graphics (TOG)
Position-correcting tools for 2D digital fabrication
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
ShoeSense: a new perspective on gestural interaction and wearable applications
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Content-aware exaggerated editing for life-like captured animations
Proceedings of the 9th European Conference on Visual Media Production
A system for supporting performers in stuffed suits
ACE'12 Proceedings of the 9th international conference on Advances in Computer Entertainment
[MARS] a real time motion capture and muscle fatigue monitoring tool
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
MARS: a muscle activity recognition system enabling self-configuring musculoskeletal sensor networks
Proceedings of the 12th international conference on Information processing in sensor networks
SmurVEbox: a smart multi-user real-time virtual environment for generating character animations
Proceedings of the Virtual Reality International Conference: Laval Virtual
Lumitrack: low cost, high precision, high speed tracking with projected m-sequences
Proceedings of the 26th annual ACM symposium on User interface software and technology
Reconstructing whole-body motions with wrist trajectories
Graphical Models
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Motion capture technology generally requires that recordings be performed in a laboratory or closed stage setting with controlled lighting. This restriction precludes the capture of motions that require an outdoor setting or the traversal of large areas. In this paper, we present the theory and practice of using body-mounted cameras to reconstruct the motion of a subject. Outward-looking cameras are attached to the limbs of the subject, and the joint angles and root pose are estimated through non-linear optimization. The optimization objective function incorporates terms for image matching error and temporal continuity of motion. Structure-from-motion is used to estimate the skeleton structure and to provide initialization for the non-linear optimization procedure. Global motion is estimated and drift is controlled by matching the captured set of videos to reference imagery. We show results in settings where capture would be difficult or impossible with traditional motion capture systems, including walking outside and swinging on monkey bars. The quality of the motion reconstruction is evaluated by comparing our results against motion capture data produced by a commercially available optical system.