Using Wi-Fi Signals for Creating a Clustered Image Database in UMap

• Autores: Wataro Takahashi, Junji Takahashi, Yoshito Tobe
• Localización: Intelligent environments 2019: Workshop Proceedings of the 15th International Conference on Intelligent Environments / coord. por Andrés Muñoz Ortega, Sofia Ouhbi, Wolfgang Minker, Loubna Echabbi, Miguel Navarro Cía, 2019, ISBN 9781614999836, págs. 352-356
• Idioma: inglés
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• Resumen

  • UMap is an indoor localization system based on the image-based similarity between a photograph taken at a client smartphone and the database at the server. A problem in the current UMAP is the inefficiency in searching the appropriate image in the database. In this paper, we propose reorganization of the database by clustering the registered images based on the rough location estimated by Wi-Fi signals. This paper describes the design of the enhanced UMap database system.