A survey on model based approaches for 2D and 3D visual human pose recovery

Xavier Perez-Sala, Sergio Escalera, Cecilio Angulo, Jordi Gonzàlez

Research output: Contribution to journalReview articleResearchpeer-review

31 Citations (Scopus)

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. © 2014 by the authors; licensee MDPI, Basel, Switzerland.
Original languageEnglish
Pages (from-to)4189-4210
JournalSensors
Volume14
Issue number3
DOIs
Publication statusPublished - 3 Mar 2014

Keywords

  • Behavior analysis
  • Computer vision
  • Human body modelling
  • Human pose recovery

Fingerprint Dive into the research topics of 'A survey on model based approaches for 2D and 3D visual human pose recovery'. Together they form a unique fingerprint.

Cite this