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
Articulated mesh animation from multi-view silhouettes
ACM SIGGRAPH 2008 papers
Recovery of upper body poses in static images based on joints detection
Pattern Recognition Letters
Tracking Human Motion with Multiple Cameras Using an Articulated Model
MIRAGE '09 Proceedings of the 4th International Conference on Computer Vision/Computer Graphics CollaborationTechniques
Homeomorphic Alignment of Edge-Weighted Trees
GbRPR '09 Proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition
Real-time and marker-free 3D motion capture for home entertainment oriented applications
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Model-based image segmentation for multi-view human gesture analysis
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
View-independent human action recognition by action hypersphere in nonlinear subspace
PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing
Real-time and markerless 3D human motion capture using multiple views
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Homeomorphic alignment of weighted trees
Pattern Recognition
Advances in view-invariant human motion analysis: a review
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Action and gait recognition from recovered 3-D human joints
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
Human body shape and motion tracking by hierarchical weighted ICP
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II
Multiview human pose estimation with unconstrained motions
Pattern Recognition Letters
An accelerated human motion tracking system based on voxel reconstruction under complex environments
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
Human body pose estimation from still images and video frames
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part I
Generic initialization for motion capture from 3d shape
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part I
Real-time pose estimation using constrained dynamics
AMDO'12 Proceedings of the 7th international conference on Articulated Motion and Deformable Objects
Part template: 3D representation for multiview human pose estimation
Pattern Recognition
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This paper presents an approach to recover body motions from multiple views using a 3D skeletal model. It takes, as input, foreground silhouette sequences from multiple viewpoints, and computes, for each frame, the skeleton pose which best fit the body pose. Skeletal models encode mostly motion information and allows therefore to separate motion estimation from shape estimation for which solutions exist; And focusing on motion parameters significantly reduces the dependancy on specific body shapes, yielding thus more flexible solutions for body motion capture. However, a problem generally faced with skeletal models is to find adequate measurements with which to fit the model. In this paper, we propose to use the medial axis of the body shape to this purpose. Such medial axis can be estimated from the visual hull, a shape approximation which is easily obtained from the silhouette information. Experiments show that this approach is robust to several perturbations in the model or in the input data, and also allows fast body motions or, equivalently, important motions between consecutive frames.