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Volume: 28 | Article ID: art00008
Visual Knowledge feedback through multi-camera system aided by Augmented Reality
  DOI :  10.2352/ISSN.2470-1173.2016.4.ERVR-422  Published OnlineFebruary 2016

Multi camera vision system has been adopted as a versatile tool for monitoring continuously dynamics environment. Along of time several authors have worked with approaches such that offers high level interpretations over those environments. However, each one of these approaches are founded in specific theoretical sustenance. These diversities may generate heterogeneity of results; which it makes them incomparable. In order to propose a useful way to use the knowledge, it is necessary to develop approaches to unify and query these data. This work proposes an approach to unify heterogeneous data, establishing several metrics criteria for visually query criterion aided by augmented reality.The proposal describes three principal stages, a) Catch the dynamic of movement by several approaches; b) A Similarity criterion to query by example spatio-temporal information reference and c) An Overlapping criterion of data repository aided by Augmented Reality.The experimental model presents a new way to query information in heterogeneous data bases obtained by different approaches, finding similar trajectories using visual query-by-example approach and displaying the results aided by Augmented Reality infrastructure.

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Josué-Rafael Montes, Teresa Hernández-Díaz, Alberto Vázquez-Cervantes, Juan-M García-Huerta, Leonardo Barriga-Rodríguez, JA Soto-Cajiga, Hugo Jiménez-Hernández, "Visual Knowledge feedback through multi-camera system aided by Augmented Realityin Proc. IS&T Int’l. Symp. on Electronic Imaging: The Engineering Reality of Virtual Reality,  2016,

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