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ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing

VipIMAGE 2019: VipIMAGE 2019 pp 366–372Cite as

Benchmark RGB-D Gait Datasets: A Systematic Review

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Part of the book series: Lecture Notes in Computational Vision and Biomechanics ((LNCVB,volume 34))

Abstract

Human motion analysis has proven to be a great source of information for a wide range of applications. Several approaches for a detailed and accurate motion analysis have been proposed in the literature, as well as an almost proportional number of dedicated datasets. The relatively recent arrival of depth sensors contributed to an increasing interest in this research area and also to the emergence of a new type of motion datasets. This work focuses on a systematic review of publicly available depth-based datasets, encompassing human gait data which is used for person recognition and/or classification purposes. We have conducted this systematic review using the Scopus database. The herein presented survey, which to the best of our knowledge is the first one dedicated to this type of datasets, is intended to inform and aid researchers on the selection of the most suitable datasets to develop, test and compare their algorithms.

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Author information

Authors and Affiliations

  1. ARC4DigiT - Centro de Investigação Aplicada para a Transformação Digital, Instituto Politécnico de Viana do Castelo, Viana do Castelo, Portugal

    João Ferreira Nunes & Pedro Miguel Moreira

  2. Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Departamento de Engenharia Mecânica, Faculdade de Enhenharia, Universidade do Porto, Porto, Portugal

    João Ferreira Nunes & João Manuel R. S. Tavares

Authors
  1. João Ferreira Nunes
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  2. Pedro Miguel Moreira
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  3. João Manuel R. S. Tavares
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Corresponding author

Correspondence to João Ferreira Nunes .

Editor information

Editors and Affiliations

  1. Faculdade de Engenharia, Universidade do Porto, Porto, Portugal

    João Manuel R. S. Tavares

  2. Faculdade de Engenharia, Universidade do Porto, Porto, Portugal

    Renato Manuel Natal Jorge

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Nunes, J.F., Moreira, P.M., Tavares, J.M.R.S. (2019). Benchmark RGB-D Gait Datasets: A Systematic Review. In: Tavares, J., Natal Jorge, R. (eds) VipIMAGE 2019. VipIMAGE 2019. Lecture Notes in Computational Vision and Biomechanics, vol 34. Springer, Cham. https://doi.org/10.1007/978-3-030-32040-9_38

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