posed method belongs, used 2D models trained from
various images. Baumberg and Hogg (Baumberg and
Hogg, 1994) used active shape model to track pedes-
trians in real world scenes. They used the B-spline
as a shape vector for training the model. Wren and
al. (Wren et al., 1997) tracked people and interpreted
their behaviour by using a multiclass statistical model
of colour and shape to obtain 2D representation of
head and hand. Gorelick and al.
(Gorelick et al.,
2005) used the solution of Poisson’s equation to ex-
tract spatiotemporal features such as the saliancy, the
orientation of the shape for action recognition and
then human pose estimation. Guo and al. (Guo et al.,
2009) used a geometrical normalized vector of dimen-
sion 13 for describing the shape of a human. Mori
and Jitendra (Mori and Malik, 2002), or Agarwal and
VISAPP_HumanPoseEstimation