Title :
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
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2008.4649722
