2026-04-17T02:55:59Zhttps://recercat.cat/oai/request

oai:recercat.cat:2445/1525302025-12-05T09:55:42Zcom_2072_1057col_2072_478917col_2072_478920

00925njm 22002777a 4500 dc Perez-Sala, Xavier author Escalera Guerrero, Sergio author Angulo, Cecilio author Gonzàlez, Jordi author 2020-03-11T16:02:59Z 2020-03-11T16:02:59Z 2014-03-03 2020-03-11T16:02:59Z 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. Anàlisi de conducta Visió per ordinador Postura humana Behavioral assessment Computer vision Posture A Survey on Model Based Approaches for 2D and 3D Visual Human Pose Recovery