Ruben Cantarero Navarro; Ana Rubio Ruiz

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.

 

Dataset Files

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Documentation: 
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[1] Ruben Cantarero Navarro, Ana Rubio Ruiz, "ReSysTDepth: Real and synthetic trajectories in indoor environments captured by depth sensors", IEEE Dataport, 2022. [Online]. Available: http://dx.doi.org/10.21227/t1s0-r737. Accessed: Jun. 20, 2024.
@data{t1s0-r737-22,
doi = {10.21227/t1s0-r737},
url = {http://dx.doi.org/10.21227/t1s0-r737},
author = {Ruben Cantarero Navarro; Ana Rubio Ruiz },
publisher = {IEEE Dataport},
title = {ReSysTDepth: Real and synthetic trajectories in indoor environments captured by depth sensors},
year = {2022} }
TY - DATA
T1 - ReSysTDepth: Real and synthetic trajectories in indoor environments captured by depth sensors
AU - Ruben Cantarero Navarro; Ana Rubio Ruiz
PY - 2022
PB - IEEE Dataport
UR - 10.21227/t1s0-r737
ER -
Ruben Cantarero Navarro, Ana Rubio Ruiz. (2022). ReSysTDepth: Real and synthetic trajectories in indoor environments captured by depth sensors. IEEE Dataport. http://dx.doi.org/10.21227/t1s0-r737
Ruben Cantarero Navarro, Ana Rubio Ruiz, 2022. ReSysTDepth: Real and synthetic trajectories in indoor environments captured by depth sensors. Available at: http://dx.doi.org/10.21227/t1s0-r737.
Ruben Cantarero Navarro, Ana Rubio Ruiz. (2022). "ReSysTDepth: Real and synthetic trajectories in indoor environments captured by depth sensors." Web.
1. Ruben Cantarero Navarro, Ana Rubio Ruiz. ReSysTDepth: Real and synthetic trajectories in indoor environments captured by depth sensors [Internet]. IEEE Dataport; 2022. Available from : http://dx.doi.org/10.21227/t1s0-r737
Ruben Cantarero Navarro, Ana Rubio Ruiz. "ReSysTDepth: Real and synthetic trajectories in indoor environments captured by depth sensors." doi: 10.21227/t1s0-r737