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

doi:10.1117/12.502310

8 August 2003 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

Author Affiliations +

Proceedings Volume 5072, Technologies, Systems, and Architectures for Transnational Defense II; (2003) https://doi.org/10.1117/12.502310
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

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.

Citation Download Citation

Arunkumar Srinivasan, Murugesan K Subramani, and Abhijit S. Pandya "A novel approach to prevent 9/11/2001 events using artificial neural networks and decision support systems", Proc. SPIE 5072, Technologies, Systems, and Architectures for Transnational Defense II, (8 August 2003); https://doi.org/10.1117/12.502310

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