PT Journal
AU Xavier Perez Sala
   Sergio Escalera
   Cecilio Angulo
   Jordi Gonzalez
TI A survey on model based approaches for 2D and 3D visual human pose recovery
SO Sensors
JI SENS
PY 2014
BP 4189
EP 4210
VL 14
IS 3
DI 10.3390/s140304189
DE human pose recovery; human body modelling; behavior analysis; computer vision
AB Human Pose Recovery has been studied in the field of Computer Vision for the last 40 years. Several approaches have been reported, and significant improvements have been obtained in both data representation and model design. However, the problem of Human Pose Recovery in uncontrolled environments is far from being solved. In this paper, we define a general taxonomy to group model based approaches for Human Pose Recovery, which is composed of five main modules: appearance, viewpoint, spatial relations, temporal consistence, and behavior. Subsequently, a methodological comparison is performed following the proposed taxonomy, evaluating current SoA approaches in the aforementioned five group categories. As a result of this comparison, we discuss the main advantages and drawbacks of the reviewed literature.
ER