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Abnormal Activity Detection Using Pyroelectric Infrared Sensors
Healthy aging is one of the most important social issues. In this paper, we propose a method for abnormal activity detection without any manual labeling of the training samples. By leveraging the Field of View (FOV) modulation, the spatio-temporal characteristic of human activity is encoded into low...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4934248/ https://ncbi.nlm.nih.gov/pubmed/27271632 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s16060822 |
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