A Survey on Model Based Approaches for 2D and 3D Visual Human Pose Recovery
AbstractHuman 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. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
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.
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.