19Fog Computing to Enable Geospatial Video Analytics for Disaster-incident Situational Awareness
Dmitrii Chemodanov, Prasad Calyam, and Kannappan Palaniappan
Department of Electrical Engineering and Computer Science, University of Missouri Columbia, MO, USA
19.1 Introduction
Computer Science is no more about computers than astronomy is about telescopes.
–E.W. Dijkstra
Computer science advances go far beyond creating a new piece of hardware or software. The latest advances are increasingly fostering the development of new algorithms and protocols for a more effective/efficient use of cutting-edge technologies within new computing paradigms. What follows is an introduction to a novel function-centric computing (FCC) paradigm that allows traditional computer vision applications to scale faster over geo-distributed hierarchical cloud-fog infrastructures. We discuss salient challenges in realizing this paradigm and show its benefits through a prism of disaster-incident response scenarios. Based on innovative data collection and processing solutions, we illustrate how geospatial video analytics enabled by FCC can help coordinate disaster relief resources to save lives.
19.1.1 How Can Geospatial Video Analytics Help with Disaster-Incident Situational Awareness?
In the event of natural or man-made disasters, timely and accurate situational awareness is crucial for assisting first responders in disaster relief coordination. To this end, imagery data, such as videos and photographs, ...
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