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Group Detection

Based on paper Detection of Public Gatherings with Low Level Features in Static Data. The content of this repository is described as follows:

  • group_solver.py: Contains the methodology described in the paper
  • f_formations.py: Contains some types of formations based on F Formations
  • ex1_groupsL_and_VaV.py: Contains a simple example with two groups of type L and Vis-a-Vis
  • ex2_several_random_groups.py: Contains a set of 6 examples which are randomly generated

Detection of Public Gatherings with Low Level Features in Static Data

If you use this work, please refer it as follows:

@article{islas_groups_static_2016,
	author = {Islas Ramírez, Omar Adair and Chetouani, Mohamed and Chatila, Raja},
	title = {Detection of Public Gatherings with Low Level Features in Static Data},
	booktitle = {3rd Workshop on Public Space Human-Robot Interaction (PubRob 2016)},
	year = {2016},
	address = {NY, USA}
}

Python dependencies:

  • numpy: library for numerical computations
  • seaborn: plotting library