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Sensors 2014, 14(3), 4189-4210; doi:10.3390/s140304189
Review

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

1,* , 2
, 3
 and 4
Received: 29 November 2013; in revised form: 30 January 2014 / Accepted: 9 February 2014 / Published: 3 March 2014
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Spain 2013)
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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.
Keywords: human pose recovery; human body modelling; behavior analysis; computer vision human pose recovery; human body modelling; behavior analysis; computer vision
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Perez-Sala, X.; Escalera, S.; Angulo, C.; Gonzàlez, J. A Survey on Model Based Approaches for 2D and 3D Visual Human Pose Recovery. Sensors 2014, 14, 4189-4210.

AMA Style

Perez-Sala X, Escalera S, Angulo C, Gonzàlez J. A Survey on Model Based Approaches for 2D and 3D Visual Human Pose Recovery. Sensors. 2014; 14(3):4189-4210.

Chicago/Turabian Style

Perez-Sala, Xavier; Escalera, Sergio; Angulo, Cecilio; Gonzàlez, Jordi. 2014. "A Survey on Model Based Approaches for 2D and 3D Visual Human Pose Recovery." Sensors 14, no. 3: 4189-4210.


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