Benchmark RGB-D Gait Datasets: A Systematic Review

• Type: Article in International Conference Proceedings Book
• Date: 2019-10

Authors

João Ferreira Nunes (Author) Other; Pedro Miguel Moreira (Author) Other; João Manuel R. S. Tavares (Author) FEUP

Conference proceedings International

Title: VipIMAGE 2019 - Proceedings of the VII ECCOMAS Thematic = Lecture Notes in Computational Vision and Biomechanics

Pages: 366-372

VII ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing

Porto, Portugal, October 16-18, 2019

Indexing

ISI Proceedings

Scopus

Scientific classification

CORDIS: Technological sciences

FOS: Medical and Health sciences

Other information

DOI: 10.1007/978-3-030-32040-9_38

Abstract (EN): 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. © Springer Nature Switzerland AG 2019.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7