ReSysTDepth: Real and synthetic trajectories in indoor environments captured by depth sensors

Citation Author(s):: Ruben Cantarero Navarro (University of Castilla-La Mancha )

Ana Rubio Ruiz (University of Castilla-La Mancha )
Submitted by:: Ruben Navarro
Last updated:: Wed, 03/30/2022 - 17:32
DOI:: 10.21227/t1s0-r737
Data Format:: *.csv;

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Categories:

Keywords:

Depth sensor; Depth camera; Kinect; trajectory; depth data

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Abstract

ReSysTDepth collects trajectories of people in indoor spaces. Each trajectory is composed of a sequence of three-dimensional coordinates that capture the center of mass of people moving in the corridor of a building. It is composed of two datasets:

Real Dataset - real data captured by a depth camera (Microsoft Kinect v2).
Synthetic dataset - synthetic data generated artificially using splines.

Instructions:

See attached documentation (pdf)

Funding Agency

This research was funded by H2020 European Union program under grant agreement No. 857159 (SHAPES project) and by MCIN/AEI/10.13039/501100011033 under grant TALENT-BELIEF (PID2020-116417RB-C44)