TY - GEN
T1 - Extracting latent behavior patterns of people from probe request data
T2 - 6th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2017
AU - Oka, Kaito
AU - Igarashi, Masaki
AU - Shimada, Atsushi
AU - Taniguchi, Rin Ichiro
N1 - Publisher Copyright:
© 2017 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85048972745&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85048972745&partnerID=8YFLogxK
U2 - 10.5220/0006193901570164
DO - 10.5220/0006193901570164
M3 - Conference contribution
AN - SCOPUS:85048972745
T3 - ICPRAM 2017 - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods
SP - 157
EP - 164
BT - ICPRAM 2017 - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods
A2 - De Marsico, Maria De
A2 - di Baja, Gabriella Sanniti
A2 - Fred, Ana
PB - SciTePress
Y2 - 24 February 2017 through 26 February 2017
ER -