Introduction to theoretical kinematics
Introduction to theoretical kinematics
The visual analysis of human movement: a survey
Computer Vision and Image Understanding
3D articulated models and multiview tracking with physical forces
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Real-Time Visual Tracking of Complex Structures
IEEE Transactions on Pattern Analysis and Machine Intelligence
Towards Model-Based Capture of a Persons Shape, Appearance and Motion
MPEOPLE '99 Proceedings of the IEEE International Workshop on Modelling People
Twist Based Acquisition and Tracking of Animal and Human Kinematics
International Journal of Computer Vision
Learning to track 3D human motion from silhouettes
ICML '04 Proceedings of the twenty-first international conference on Machine learning
A Factorization-Based Approach to Articulated Motion Recovery
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Human Motion Tracking with a Kinematic Parameterization of Extremal Contours
International Journal of Computer Vision
Conic fitting using the geometric distance
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
A multiple camera system with real-time volume reconstruction for articulated skeleton pose tracking
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
Articulated-body tracking through anisotropic edge detection
WDV'05/WDV'06/ICCV'05/ECCV'06 Proceedings of the 2005/2006 international conference on Dynamical vision
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This paper addresses the problem of articulated motion tracking from image sequences. We describe a method that relies on an explicit parameterization of the extremal contours in terms of the joint parameters of an associated kinematic model. The latter allows us to predict the extremal contours from the body-part primitives of an articulated model and to compare them with observed image contours. The error function that measures the discrepancy between observed contours and predicted contours is minimized using an analytical expression of the Jacobian that maps joint velocities onto contour velocities. In practice we model people both by their geometry (truncated elliptical cones) and with their articulated structure – a kinematic model with 40 rotational degrees of freedom. We observe image data gathered with several synchronized cameras. The tracker has been successfully applied to image sequences gathered at 30 frames/second.