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Title: A Survey on Model Based Approaches for 2D and 3D Visual Human Pose Recovery
Author: Perez-Sala, Xavier
Escalera Guerrero, Sergio
Angulo, Cecilio
Gonzàlez, Jordi
Keywords: Anàlisi de conducta
Visió per ordinador
Postura humana
Behavioral assessment
Computer vision
Issue Date: 3-Mar-2014
Publisher: MDPI
Abstract: 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.
Note: Reproducció del document publicat a:
It is part of: Sensors, 2014, vol. 14, num. 3, p. 4189-4210
Related resource:
ISSN: 1424-8220
Appears in Collections:Articles publicats en revistes (Matemàtiques i Informàtica)

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