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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Detalles Bibliográficos
Autores principales: Luo, Xiaomu, Tan, Huoyuan, Guan, Qiuju, Liu, Tong, Zhuo, Hankz Hankui, Shen, Baihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934248/
https://www.ncbi.nlm.nih.gov/pubmed/27271632
http://dx.doi.org/10.3390/s16060822

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934248/
https://www.ncbi.nlm.nih.gov/pubmed/27271632
http://dx.doi.org/10.3390/s16060822

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