This dataset provides annotated video sequences and kinematic data to evaluate object tracking algorithms in high-speed and complex maneuvering scenarios.
Dataset Downloads
Download the raw kinematic data (.csv). These datasets are structured for performance evaluation of target tracking algorithms.
1. High-Speed Tracking: Jet (IMM2D2M)
Two-model IMM evaluation data
Trajectory and state estimation data for a high-speed jet performing evasive maneuvers. Evaluated using Constant Velocity (CV) and Constant Acceleration (CA) models.
Download Dataset 1 (.ZIP)
2. High-Speed Tracking: Aircraft (IMM2D3M)
Three-model IMM evaluation data
Dataset containing kinematic responses of a highly maneuverable aircraft. Evaluated using Constant Velocity (CV), Constante Acceleraion (CA), and Constant Turn (CT) kinematic models.
Download Dataset 2 (.ZIP)
3. Non-Linear Control: Ball and Beam (IMM2D2M)
Position stabilization data
Visual Tracking dataset based on a classic non-linear Ball and Beam control system. Includes synchronized video frame sequences and ground-truth pixel coordinates to evaluate vision-based position estimation.
Download Dataset 3 (.ZIP)
Complete Repository
Download all visual tracking datasets, including Jet, Aircraft, and Ball & Beam scenarios in a single compressed file.
Download All Datasets (.ZIP)
Related Publications
High-Precision Visual-Tracking using the IMM Algorithm and Discrete GPI Observers (IMM-DGPIO)
E. E. Sánchez-Ramírez, A. J. Rosales-Silva & R. A. Alfaro-Flores
Integration of a bank of DGPIO within an IMM structure to enhance high-precision visual tracking tasks.
View at Springer
A Four-Model Based IMM Algorithm for Real-Time Visual Tracking of High-Speed Maneuvering Targets
E. E. Sánchez-Ramírez, A. J. Rosales-Silva, J. M. Vianney-Kinani et al.
A four-model cinematic IMM algorithm designed to overcome tracking errors in high-speed maneuvering targets.
View at Springer
How to Cite
@article{SanchezRamirez2020HighPrecision,
title={High-Precision Visual-Tracking using the IMM Algorithm and Discrete GPI Observers (IMM-DGPIO)},
author={Sánchez-Ramírez, E. E. and Rosales-Silva, A. J. and Alfaro-Flores, R. A.},
journal={J Intell Robot Syst},
volume={99},
pages={815--835},
year={2020},
publisher={Springer},
doi={10.1007/s10846-020-01164-6}
}
@article{SanchezRamirez2019FourModel,
title={A Four-Model Based IMM Algorithm for Real-Time Visual Tracking of High-Speed Maneuvering Targets},
author={Sánchez-Ramírez, E. E. and Rosales-Silva, A. J. and Vianney-Kinani, J. M. and others},
journal={J Intell Robot Syst},
volume={95},
pages={761--775},
year={2019},
publisher={Springer},
doi={10.1007/s10846-018-0926-1}
}