Carregant...
Miniatura

Tipus de document

Article

Versió

Versió publicada

Data de publicació

Llicència de publicació

cc-by (c) Perez-Sala, Xavier et al., 2014
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/152530

A Survey on Model Based Approaches for 2D and 3D Visual Human Pose Recovery

Títol de la revista

Director/Tutor

ISSN de la revista

Títol del volum

Resum

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.

Citació

Citació

PEREZ-SALA, Xavier, ESCALERA GUERRERO, Sergio, ANGULO, Cecilio, GONZÀLEZ, Jordi. A Survey on Model Based Approaches for 2D and 3D Visual Human Pose Recovery. _Sensors_. 2014. Vol. 14, núm. 3, pàgs. 4189-4210. [consulta: 10 de gener de 2026]. ISSN: 1424-8220. [Disponible a: https://hdl.handle.net/2445/152530]

Exportar metadades

JSON - METS

Compartir registre