Use this resource - and many more! - in your textbook!
AcademicPub holds over eight million pieces of educational content for you to mix-and-match your way.
Voxel based annealed particle filtering for markerless 3D articulated motion capture
2009 / IEEE / 978-1-4244-4317-8
This item was taken from the IEEE Conference ' Voxel based annealed particle filtering for markerless 3D articulated motion capture ' This paper presents a view-independent approach to markerless human motion capture in low resolution sequences from multiple calibrated and synchronized cameras. Redundancy among cameras is exploited to generate a 3D voxelized representation of the scene and a human body model (HBM) is introduced towards analyzing these data. An annealed particle filtering scheme where every particle encodes an instance of the pose of the HBM is employed. Likelihood between particles and input data is performed using occupancy and surface information and kinematic constrains are imposed in the propagation step towards avoiding impossible poses. Test over the HumanEva annotated dataset yield quantitative results showing the effectiveness of the proposed algorithm.
Particle Filtering (numerical Methods)
Annealed Particle Filtering
Markerless 3d Articulated Motion Capture
Low Resolution Sequences
3d Voxelized Representation
Human Body Model
Humaneva Annotated Dataset
Biological System Modeling
Human Motion Capture
Video Signal Processing