Name
Abstract | ||
|---|---|---|
In this paper we present a method for automatic body model adjustment and motion tracking in multicamera environments. We introduce a set of shape deformation parameters based on linear blend skinning, that allow a deformation related to the scaling of the distinct bones of the body model skeleton, and a deformation in the radial direction of a bone. The adjustment of a generic body model to a specific subject is achieved by the estimation of those shape deformation parameters. This estimation combines a local optimization method and hierarchical particle filtering, and uses an efficient cost function based on foreground silhouettes using GPU. This estimation takes into account anthropometric constraints by using a rejection sampling method of propagation of particles. We propose a hierarchical particle filtering method for motion tracking using the adjusted model. We show accurate model adjustment and tracking for distinct subjects in a 5 cameras set up. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-14061-7_9 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
automatic body model adjustment,generic body model,accurate model adjustment,shape adjustment,multicamera environment,shape deformation parameter,hierarchical particle,motion tracking,adjusted model,distinct bone,local optimization method,body model skeleton,rejection sampling,particle filter,cost function | Computer vision,Rejection sampling,Motion capture,Skinning,Visual hull,Computer science,Particle filter,Video tracking,Artificial intelligence,Match moving,Kinematic chain | Conference |
Volume | ISSN | ISBN |
6169 | 0302-9743 | 3-642-14060-2 |
Citations | PageRank | References |
4 | 0.43 | 15 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marcel Alcoverro | 1 | 28 | 3.44 |
| Josep Ramon Casas | 2 | 34 | 2.75 |
| Montse Pardàs | 3 | 343 | 35.03 |