Stick it! Articulated tracking using spatial rigid object priors

TY - GEN

T1 - Stick it! Articulated tracking using spatial rigid object priors

AU - Hauberg, Søren

AU - Pedersen, Kim Steenstrup

N1 - Conference code: 10

PY - 2011

Y1 - 2011

N2 - Articulated tracking of humans is a well-studied field, but most work has treated the humans as being independent of the environment. Recently, Kjellström et al. [1] showed how knowledge of interaction with a known rigid object provides constraints that lower the degrees of freedom in the model. While the phrased problem is interesting, the resulting algorithm is computationally too demanding to be of practical use. We present a simple and elegant model for describing this problem. The resulting algorithm is computationally much more efficient, while it at the same time produces superior results.

AB - Articulated tracking of humans is a well-studied field, but most work has treated the humans as being independent of the environment. Recently, Kjellström et al. [1] showed how knowledge of interaction with a known rigid object provides constraints that lower the degrees of freedom in the model. While the phrased problem is interesting, the resulting algorithm is computationally too demanding to be of practical use. We present a simple and elegant model for describing this problem. The resulting algorithm is computationally much more efficient, while it at the same time produces superior results.

U2 - 10.1007/978-3-642-19318-7_59

DO - 10.1007/978-3-642-19318-7_59

M3 - Article in proceedings

SN - 978-3-642-19317-0

VL - III

T3 - Lecture notes in computer science

SP - 758

EP - 769

BT - Computer Vision – ACCV 2010

A2 - Kimmel, Ron

A2 - Klette, Reinhard

A2 - Sugimoto, Akihiro

PB - Springer

T2 - 10th Asian Conference on Computer Vision

Y2 - 8 November 2010 through 12 November 2010

ER -