Detecting Critical Situation in Public Transport

  title={Detecting Critical Situation in Public Transport},
  author={Rafael Marcos Luque Baena and Francisco L. Valverde and Enrique Dom{\'i}nguez and Esteban J. Palomo and Jos{\'e} Mu{\~n}oz},
This paper presents a system information applied to video surveillance to detect and identify aggressive behaviors of people in public transport. A competitive neural network is proposed to form a background model for detecting objects in motion in the sequence. After identifying the objects and extracting its features a set of rules are applied to decide… CONTINUE READING