Three Dimensional Monocular Human Motion Analysis in End-Effector Space
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
3D Human Motion Tracking with a Coordinated Mixture of Factor Analyzers
International Journal of Computer Vision
Coupled Visual and Kinematic Manifold Models for Tracking
International Journal of Computer Vision
A software pipeline for 3D animation generation using mocap data and commercial shape models
Proceedings of the ACM International Conference on Image and Video Retrieval
Dual gait generative models for human motion estimation from a single camera
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
Multiple view human articulated tracking using charting and particle swarm optimisation
Proceedings of the 1st international workshop on 3D video processing
Gaussian-like spatial priors for articulated tracking
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
View and style-independent action manifolds for human activity recognition
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Computer Vision and Image Understanding
Stick it articulated tracking using spatial rigid object priors
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Predicting Articulated Human Motion from Spatial Processes
International Journal of Computer Vision
Unscented kalman filtering for articulated human tracking
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
Using a Product Manifold distance for unsupervised action recognition
Image and Vision Computing
Fast Human Pose Detection Using Randomized Hierarchical Cascades of Rejectors
International Journal of Computer Vision
Dynamic hand shape manifold embedding and tracking from depth maps
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
Two-layer dual gait generative models for human motion estimation from a single camera
Image and Vision Computing
Computer Vision and Image Understanding
Joint view-identity manifold for infrared target tracking and recognition
Computer Vision and Image Understanding
Computer Vision and Image Understanding
| Hi-index | 0.14 |
We present a framework for monocular 3D kinematic pose tracking and viewpoint estimation of periodic and quasi-periodic human motions from an uncalibrated camera. The approach we introduce here is based on learning both the visual observation manifold and the kinematic manifold of the motion using a joint representation. We show that the visual manifold of the observed shape of a human performing a periodic motion, observed from different viewpoints, is topologically equivalent to {\em a torus manifold}. The approach we introduce here is based on {\em supervised} learning of both the visual and kinematic manifolds. Instead of learning an embedding of the manifold, we learn the geometric deformation between an ideal manifold (conceptual equivalent topological structure) and a twisted version of the manifold (the data). Experimental results show accurate estimation of the 3D body posture and the viewpoint from a single uncalibrated camera.