TY - JOUR AU - Xavier Perez Sala AU - Sergio Escalera AU - Cecilio Angulo AU - Jordi Gonzalez PY - 2014// TI - A survey on model based approaches for 2D and 3D visual human pose recovery T2 - SENS JO - Sensors SP - 4189 EP - 4210 VL - 14 IS - 3 KW - human pose recovery KW - human body modelling KW - behavior analysis KW - computer vision N2 - 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. L1 - http://refbase.cvc.uab.es/files/PEA2014.pdf UR - http://dx.doi.org/10.3390/s140304189 N1 - HuPBA; ISE; 600.046; 600.063; 600.078;MILAB ID - Xavier Perez Sala2014 ER -