Spatio-Temporal Constrained Human Trajectory Generation from the PIR Motion Detector Sensor Network Data: A Geometric Algebra Approach

Spatio-Temporal Constrained Human Trajectory Generation from the PIR Motion Detector Sensor Network Data: A Geometric Algebra Approach

Passive infrared (PIR) motion detectors, which can support long-term continuous observation, are widely used for human motion analysis. Extracting all possible trajectories from the PIR sensor networks is important. Because the PIR sensor does not log location and individual information, none of the...

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Bibliographic Details
Main Authors: Zhaoyuan Yu, Linwang Yuan, Wen Luo, Linyao Feng, Guonian Lv
Format: Article
Language:English
Published: MDPI AG 2015-12-01
Series:Sensors
Subjects:
sensor networks
trajectory recovering
geometric algebra
spatio-temporal constraints
trajectory filtering
MERL motion sensor
Online Access:http://www.mdpi.com/1424-8220/16/1/43

Internet

http://www.mdpi.com/1424-8220/16/1/43

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