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A survey on model based approaches for 2D and 3D visual human pose recovery
Perez Sala, Xavier; Escalera, Sergio; Angulo Bahón, Cecilio; Gonzàlez, Jordi
Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement
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.
Peer Reviewed
-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
-Àrees temàtiques de la UPC::Informàtica::Robòtica
-Computer vision
-Pattern recognition systems
-Predictive control
-Human pose recovery
-Human body modelling
-Behavior analysis
-Computer vision
-Imatge -- Processament
-Robòtica
-Visió per ordinador
Attribution 3.0 Spain
http://creativecommons.org/licenses/by/3.0/es/
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