Towards fish-eye camera based in-home activity assessment

Author

Bas, Erhan ; Erdogmus, Deniz ; Ozertem, Umut ; Pavel, Misha

Author_Institution

Department of Biomedical Engineering, Oregon Health and Science University, Portland, USA

fYear

2008

fDate

20-25 Aug. 2008

Firstpage

2558

Lastpage

2561

Abstract

Indoors localization, activity classification, and behavioral modeling are increasingly important for surveillance applications including independent living and remote health monitoring. In this paper, we study the suitability of fish-eye cameras (high-resolution CCD sensors with very-wide-angle lenses) for the purpose of monitoring people in indoors environments. The results indicate that these sensors are very useful for automatic activity monitoring and people tracking. We identify practical and mathematical problems related to information extraction from these video sequences and identify future directions to solve these issues.

Keywords

Biomedical monitoring; Cameras; Charge coupled devices; Charge-coupled image sensors; Computerized monitoring; Data mining; Indoor environments; Lenses; Remote monitoring; Surveillance; Algorithms; Artificial Intelligence; Environment; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Information Storage and Retrieval; Models, Biological; Movement; Normal Distribution; Pattern Recognition, Automated; Photogrammetry; Reproducibility of Results; Video Recording;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE

Conference_Location

Vancouver, BC

ISSN

1557-170X

Print_ISBN

978-1-4244-1814-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2008.4649722

Filename

4649722