Evacuation Planning through Cognitive Crowd Tracking

This paper presents the research challenges for modeling crowd dynamics modeling for evacuations purposes. The paper presents the current achievements and the research challenges of such systems. Then, it proposes an architecture which can solve these problems. The architecture comprises of a synthesis of computer vision algorithms and complex science. Using such synthesis we are not able to observe current observations but also to predict the outcome of a process resulting in high adaptation schemes.