A particle filter based sequential trajectory classifier for behavior analysis in video surveillance
Vahid Bastani, Lucio Marcenaro, Carlo S. Regazzoni · 2015
The problem of behavior assessment in video surveillance is approached using trajectory classification. Lagrangian state dynamic is used for probabilistic modeling of trajectory patterns and an off-line parameter learning method for the model is proposed. For classification purpose, an on-line sequential maximum a posterior trajectory classifier is introduced based on particle filter. Finally, the performance of this method is evaluated using a traffic video data set.