A Robust Motion Detection Technique for Dynamic Environment Monitoring: A Framework for Grid-Based Monitoring of the Dynamic Environment

@article{Baig2014ARM,
  title={A Robust Motion Detection Technique for Dynamic Environment Monitoring: A Framework for Grid-Based Monitoring of the Dynamic Environment},
  author={Qadeer Baig and Mathias Perrollaz and Christian Laugier},
  journal={IEEE Robotics & Automation Magazine},
  year={2014},
  volume={21},
  pages={40-48}
}
The Bayesian occupancy filter (BOF) provides a framework for grid-based monitoring of the dynamic environment. It allows us to estimate dynamic grids, containing both information of occupancy and velocity. Clustering such grids then provides detection of the objects in the observed scene.