NDLI: An approach for extraction of human walking path in Intelligent Space

Content Provider	IEEE Xplore Digital Library
Author	Kobayashi, H. Hashimoto, H. Niitsuma, M.
Copyright Year	2011
Description	Author affiliation: Chuo University, Tokyo, Japan (Kobayashi, H.; Niitsuma, M.) \|\| The University of Tokyo, Japan (Hashimoto, H.)
Abstract	This paper presents an approach to extract human walking paths independently from the orientation of the paths in a global coordinate system. Previously, observing human walking, connectivity between the spaces (areas) has been obtained. In this paper, we regard human walking paths as a feature to represent patterns of activities. Observing and describing human activities can be considered as useful information for intelligent environments to enable the environments to provide suitable support to the users corresponding to their actual situations. In this paper, we present an approach to extract human walking paths independently from the orientation of the paths in a global coordinate system. More specifically, we propose a similarity measurement based on AMSS (Angular Metrics for Shape Similarity), then classify human walking paths using a hierarchical clustering method. Experimental results show that the proposed approach achieves rotation invariant extraction of human walking paths.
Starting Page	281
Ending Page	286
File Size	1396955
Page Count	6
File Format	PDF
ISBN	9781424496389
ISSN	21582254
e-ISBN	9781424496402
DOI	10.1109/HSI.2011.5937379
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-19
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Legged locomotion Shape Transmitters clustering of time series data human activity observation Humans Feature extraction Trajectory Intelligent Space
Content Type	Text
Resource Type	Article

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