Abstract
We consider a person tracking system that is robust to environmental changes and users are unaware of. Once a user is identified at an entrance door in a room with his/her biometrics, we can keep tracking the user continuously. The pyroelectric infrared sensors in the ceiling are used for this goal. These sensors are resistant to environmental changes, but give only a weak piece of evidence. We applied a Bayesian network to infer the position of the user, and investigated how the Bayesian network works. We gained 64.0% in average for a single-person tracking. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Hosokawa, T., & Kudo, M. (2005). Person tracking with infrared sensors. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3684 LNAI, pp. 682–688). Springer Verlag. https://doi.org/10.1007/11554028_95
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