抄録
In order to achieve in-store customer traffic tracking, a method should be capable of catching personnel routings and ambulation trajectories while shopping. In this study, we presented a practical method for indoor personnel positioning, especially focusing on ambulatory path recognition and trajectory estimation. The method was designed to be autonomous needless of neither external measures nor cumbersome installations to a store environment. To avoid an inherent problem of trajectory estimation through Dead-Reckoning algorithm, an advanced probabilistic Map Matching method was applied utilizing a Particle filtering technique. The experiment was performed to confirm the utility of the proposed method in a small retail store. The result showed that the proposed method provided feasible successes in tracking personnel positioning.
本文言語 | English |
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論文番号 | 60401W |
ジャーナル | Proceedings of SPIE - The International Society for Optical Engineering |
巻 | 6040 |
DOI | |
出版ステータス | Published - 2005 12月 1 |
イベント | ICMIT 2005: Mechatronics, MEMS and Smart Materials - Changchun, China 継続期間: 2005 9月 20 → 2005 9月 23 |
ASJC Scopus subject areas
- 電子材料、光学材料、および磁性材料
- 凝縮系物理学
- コンピュータ サイエンスの応用
- 応用数学
- 電子工学および電気工学