ICONDENSATION: Unifying Low-Level and High-Level Tracking in a Stochastic Framework
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Enabling Mobile Phones To Support Large-Scale Museum Guidance
IEEE MultiMedia
Pedestrian localisation for indoor environments
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Experiences with Handheld Augmented Reality
ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
Video-rate localization in multiple maps for wearable augmented reality
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In-Situ 3D Indoor Modeler with a Camera and Self-contained Sensors
VMR '09 Proceedings of the 3rd International Conference on Virtual and Mixed Reality: Held as Part of HCI International 2009
Indoor/outdoor pedestrian navigation with an embedded GPS/RFID/self-contained sensor system
ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
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This paper describes an indoor pedestrian tracking system that can economically improve the tracking performance and the quality and value of services by incorporating other services synergistically. The tracking system obtains position, orientation, and action of pedestrians continuously and accurately in large indoor environments by utilizing surveillance cameras and active RFID tags for security services and 3-D environment models for navigation services. Considering service cooperation and co-creative intelligence cycles, this system can improve both the tracking performance and the quality of services without significant increase of costs by sharing the existing infrastructures and the 3-D models among services. The authors conducted an evaluation of the tracking system in a large indoor environment and confirmed that the accuracy of the system can be improved by utilizing the infrastructures and the 3-D models. Synergistic services utilizing the tracking system and service cooperation can also enhance the quality and value of services.