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 Cantarero...
Last updated:
Wed, 03/30/2022 - 13:32
DOI:
10.21227/t1s0-r737
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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)