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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Detalles Bibliográficos
Autores principales: Yu, Zhaoyuan, Yuan, Linwang, Luo, Wen, Feng, Linyao, Lv, Guonian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732076/
https://www.ncbi.nlm.nih.gov/pubmed/26729123
http://dx.doi.org/10.3390/s16010043

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732076/
https://www.ncbi.nlm.nih.gov/pubmed/26729123
http://dx.doi.org/10.3390/s16010043

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