8 August 2003 A novel approach to prevent 9/11/2001 events using artificial neural networks and decision support systems
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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.
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Arunkumar Srinivasan, Arunkumar Srinivasan, Murugesan K Subramani, Murugesan K Subramani, Abhijit S. Pandya, 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); doi: 10.1117/12.502310; https://doi.org/10.1117/12.502310
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