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Human tracking using floor sensors based on the Markov chain Monte Carlo method

Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference, (2004): 917-920Vol.4

Cited by: 61|Views4
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Abstract

The aim of this paper is to develop a human tracking system that is resistant to environmental changes and covers wide area. Simply structured floor sensors are low-cost and can track people in a wide area. However, the sensor reading is discrete and missing; therefore, footsteps do not represent the precise location of a person. A Markov...More

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