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Authors: Kaito Oka ; Masaki Igarashi ; Atsushi Shimada and Rin-ichiro Taniguchi

Affiliation: Kyushu University, Japan

ISBN: 978-989-758-222-6

Keyword(s): Probe Request, People Flow, Location Information, Non-negative Tensor Factorization, Data Mining.

Related Ontology Subjects/Areas/Topics: Applications ; Economics, Business and Forecasting Applications ; Feature Selection and Extraction ; Knowledge Acquisition and Representation ; Matrix Factorization ; Pattern Recognition ; Theory and Methods

Abstract: Although people flow analysis is widely studied because of its importance, there are some difficulties with previous methods, such as the cost of sensors, person re-identification, and the spread of smartphone applications for collecting data. Today, Probe Request sensing for people flow analysis is gathering attention because it conquers many of the difficulties of previous methods. We propose a framework for Probe Request data analysis for extracting the latent behavior patterns of people. To make the extracted patterns understandable, we apply a Non-negative Tensor Factorization with a sparsity constraint and initialization with prior knowledge to the analysis. Experimental result showed that our framework helps the interpretation of Probe Request data.

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Paper citation in several formats:
Oka, K.; Igarashi, M.; Shimada, A. and Taniguchi, R. (2017). Extracting Latent Behavior Patterns of People from Probe Request Data: A Non-negative Tensor Factorization Approach.In Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-222-6, pages 157-164. DOI: 10.5220/0006193901570164

@conference{icpram17,
author={Kaito Oka. and Masaki Igarashi. and Atsushi Shimada. and Rin{-}ichiro Taniguchi.},
title={Extracting Latent Behavior Patterns of People from Probe Request Data: A Non-negative Tensor Factorization Approach},
booktitle={Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2017},
pages={157-164},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006193901570164},
isbn={978-989-758-222-6},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Extracting Latent Behavior Patterns of People from Probe Request Data: A Non-negative Tensor Factorization Approach
SN - 978-989-758-222-6
AU - Oka, K.
AU - Igarashi, M.
AU - Shimada, A.
AU - Taniguchi, R.
PY - 2017
SP - 157
EP - 164
DO - 10.5220/0006193901570164

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