Real time markerless motion tracking using linked kinematic chains

Luck, Jason P; Small, Daniel E

Real time markerless motion tracking using linked kinematic chains

Patent · Tue Aug 14 04:00:00 EDT 2007

OSTI ID:913441

Luck, Jason P ^[1]; Small, Daniel E ^[2]

Arvada, CO
Albuquerque, NM

A markerless method is described for tracking the motion of subjects in a three dimensional environment using a model based on linked kinematic chains. The invention is suitable for tracking robotic, animal or human subjects in real-time using a single computer with inexpensive video equipment, and does not require the use of markers or specialized clothing. A simple model of rigid linked segments is constructed of the subject and tracked using three dimensional volumetric data collected by a multiple camera video imaging system. A physics based method is then used to compute forces to align the model with subsequent volumetric data sets in real-time. The method is able to handle occlusion of segments and accommodates joint limits, velocity constraints, and collision constraints and provides for error recovery. The method further provides for elimination of singularities in Jacobian based calculations, which has been problematic in alternative methods.

Research Organization:: Sandia National Laboratories (SNL-NM), Albuquerque, NM

Sponsoring Organization:: United States Department of Energy

DOE Contract Number:: AC04-94AL85000

Assignee:: Sandia Corporation (Albuquerque, NM)

Patent Number(s):: 7,257,237

OSTI ID:: 913441

Country of Publication:: United States

Language:: English

References (10)

A Silhouette Based Technique for the Reconstruction of Human Movement Bottino, Andrea; Laurentini, Aldo Computer Vision and Image Understanding, Vol. 83, Issue 1 https://doi.org/10.1006/cviu.2001.0918	journal	July 2001
Shape and nonrigid motion estimation through physics-based synthesis Metaxas, D.; Terzopoulos, D. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 15, Issue 6 https://doi.org/10.1109/34.216727	journal	June 1993
Articulated Figure Positioning by Multiple Constraints Badler, Norman; Manoochehri, Kamran; Walters, Graham IEEE Computer Graphics and Applications, Vol. 7, Issue 6 https://doi.org/10.1109/MCG.1987.276894	journal	June 1987
The Visual Analysis of Human Movement: A Survey Gavrila, D. M. Computer Vision and Image Understanding, Vol. 73, Issue 1 https://doi.org/10.1006/cviu.1998.0716	journal	January 1999
Volumetric Video Motion Detection for Unobtrusive Human-Computer Interaction Small, Daniel E.; Luck, Jason P.; Carlson, Jeffrey J. https://doi.org/10.2172/800789	report	April 2002
Active part-decomposition, shape and motion estimation of articulated objects: a physics-based approach No authors listed Proceedings of IEEE Conference on Computer Vision and Pattern Recognition CVPR-94 https://doi.org/10.1109/CVPR.1994.323938	conference	June 1994
A real time system for robust 3D voxel reconstruction of human motions Cheung, G. K. M.; Kanade, T.; Bouguet, J. -Y. Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662) https://doi.org/10.1109/CVPR.2000.854944	conference	January 2000
Tracking human motion in structured environments using a distributed-camera system Cai, Q.; Aggarwal, J. K. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 21, Issue 11 https://doi.org/10.1109/34.809119	journal	January 1999
Model-based estimation of 3D human motion with occlusion based on active multi-viewpoint selection Kakadiaris, I. A.; Metaxas, D. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition https://doi.org/10.1109/CVPR.1996.517057	conference	January 1996
Tracking and Modeling People in Video Sequences Plänkers, Ralf; Fua, Pascal Computer Vision and Image Understanding, Vol. 81, Issue 3 https://doi.org/10.1006/cviu.2000.0891	journal	March 2001

Similar Records

Autonomous Selective Parts-Based Tracking

Journal Article · Wed Jan 22 19:00:00 EST 2020 · IEEE Transactions on Image Processing · OSTI ID:1799122

Three dimensional computer vision: Potential applications with curvature tracking

Real time markerless motion tracking using linked kinematic chains

Citation Formats

References (10)

Similar Records

Related Subjects