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Volume: 33 | Article ID: art00009
Unify The View of Camera Mesh Network to a Common Coordinate System
  DOI :  10.2352/ISSN.2470-1173.2021.17.AVM-175  Published OnlineJanuary 2021

The demand for object tracking (OT) applications has been increasing for the past few decades in many areas of interest, including security, surveillance, intelligence gathering, and reconnaissance. Lately, newly-defined requirements for unmanned vehicles have enhanced the interest in OT. Advancements in machine learning, data analytics, and AI/deep learning have facilitated the improved recognition and tracking of objects of interest; however, continuous tracking is currently a problem of interest in many research projects. [1] In our past research, we proposed a system that implements the means to continuously track an object and predict its trajectory based on its previous pathway, even when the object is partially or fully concealed for a period of time. The second phase of this system proposed developing a common knowledge among a mesh of fixed cameras, akin to a real-time panorama. This paper discusses the method to coordinate the cameras' view to a common frame of reference so that the object location is known by all participants in the network.

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Haney W. Williams, Steven J. Simske, Fr. Gregory Bishay, "Unify The View of Camera Mesh Network to a Common Coordinate Systemin Proc. IS&T Int’l. Symp. on Electronic Imaging: Autonomous Vehicles and Machines,  2021,  pp 175-1 - 175-8,

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