A novel approach to prevent 9/11/2001 events using artificial neural networks and decision support systems
Arunkumar Srinivasan, Murugesan K. Subramani, Abhijit S. Pandya · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2003
The ability to detect objects from image sequences and estimate their trajectory is useful in many applications like satellite tracking, missile guidance and interception. This paper proposes a reliable and an effective application for preventing loss of lives on event of airline crashes similar to the one on 9/11/2001. This contribution uses the MixeD algorithm for object detection, velocity estimation and the trajectory of the moving object in the spatiotemporal domain. The case study of the 9/11 event shows that the proposed method could have helped the authorities alert the people inside the towers far in advance about the hostile situation and could have saved a few more lives.