BUSINESS INTELLIGENCE THROUGH REAL-TIME TRACKING - Using a Location System Towards Behaviour Pattern Extraction

Pedro Abreu, Vasco Vinhas, Pedro Mendes

2008

Abstract

Nowadays, tracking systems constitute an important knowledge support in order to compute important measurements in companys processes efficiency. As consequence of that, this project proposes a methodology and an application, based on a tracking system to obtain, by automatic means, dynamic location data on items. This solution assumes that the client carries or drives an item of some kind. In each item there is an identifying tag attached and hidden in order to make the item at hand detectable by all the sensors that are scattered around the area. Because of the fact that the tag is light and hidden and also has no information regarding the specific person/agent this process is completely transparent to the client or robot that is being implicitly tracked. This system produces real-time shop floor visualization maps with intelligible data on online item localization; individual item complete path routes; online and historical population density rates and path routes concentration; and also item vision enabled concentration maps as emulation for item omnidirectional vision considering occlusions. This proposed system might be useful in many different areas, for instance in a traditional retail environment tracing clients through a commercial area or enabling item tracking and route analysis in a hospital.

References

  1. Chao C., Yang J., J. W. (2007). Determining technology trends and forecasts of rfid by a historical review and bibliometric analysis from 1991 to 2005. In Technovation 27, Issue 5, pages 268-279. Elvisier Ltd.
  2. Choustova, O. (2007). Price-dynamics of shares and bohmian mechanics: Deterministic or stochastic model? In Foundations of Probability and Physics, pages 274-282.
  3. Grudzinski, J. (2007). Real-time clouds and weather simulation in computer games. In Learning with Games 2007.
  4. Jappinen P., P. J. (2007). Preference-aware ubiquitous advertisement screen. In eCommerce 2007 Proceedings, pages 99-105. IADIS Press.
  5. Krotosky J., T. M. (2007). A comparison of color and infrared stereo approaches to pedestrian detection. In Intelligent Vehicles Symposium, pages 1226-1231.
  6. Luce, R. (1999). Where is mathematical modeling in psychology headed? In Theory and Psychology, pages 723-737.
  7. Mingkhwan, A. (2006). Wi-fi tracker: An organization wifi tracking system. In IEEE CCECE/CCGEI, Ottawa,, pages 1353-1356.
  8. Moura J., Coelho A., L. P. e. a. (2004). Readings in Information Society. Universidade Fernando Pessoa.
  9. Park H., Lee S., C. W. (2006). Obstacle detection and feature extraction using 2.5d range sensor system. In SICE-ICA SE, 2006. International Joint Conference, pages 2000-2004.
  10. Pires, P. (2001). Dynamic algorithm binding for virtual walkthroughs. Master's thesis, Technical University of Lisbon.
  11. Raizer, V. (2003). Validation of two-dimensional ocean microwave signatures. In Geoscience and Remote Sensing Symposium, 2003. IGARSS 7803., pages 2694- 2696.
  12. Vazquez, P. (2007). Real time falling leaves. In Second Internacional Conference on Computer Graphics Theory and Applications, pages 244-251.
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Paper Citation


in Harvard Style

Abreu P., Vinhas V. and Mendes P. (2008). BUSINESS INTELLIGENCE THROUGH REAL-TIME TRACKING - Using a Location System Towards Behaviour Pattern Extraction . In Proceedings of the International Conference on e-Business - Volume 1: ICE-B, (ICETE 2008) ISBN 978-989-8111-58-6, pages 51-57. DOI: 10.5220/0001909900510057


in Bibtex Style

@conference{ice-b08,
author={Pedro Abreu and Vasco Vinhas and Pedro Mendes},
title={BUSINESS INTELLIGENCE THROUGH REAL-TIME TRACKING - Using a Location System Towards Behaviour Pattern Extraction},
booktitle={Proceedings of the International Conference on e-Business - Volume 1: ICE-B, (ICETE 2008)},
year={2008},
pages={51-57},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001909900510057},
isbn={978-989-8111-58-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on e-Business - Volume 1: ICE-B, (ICETE 2008)
TI - BUSINESS INTELLIGENCE THROUGH REAL-TIME TRACKING - Using a Location System Towards Behaviour Pattern Extraction
SN - 978-989-8111-58-6
AU - Abreu P.
AU - Vinhas V.
AU - Mendes P.
PY - 2008
SP - 51
EP - 57
DO - 10.5220/0001909900510057