Detection of unusual trajectories using multi-objective evolutionary algorithms and rough sets
Tomasz G. Smolinski, Trevor Newell, Samantha McDaniel, David D. Pokrajac · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2013
Detection of unusual trajectories of moving objects (e.g., people, automobiles, etc.) is an important problem in many civilian and military surveillance applications. In this work, we propose a multi-objective evolutionary algorithms and rough sets-based approach that breaks down 2-dimensional trajectories into a set of additive components, which then can be used to build a classifier capable of recognizing typical, but yet unseen trajectories, and identifying those that seem suspicious.