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Towards fish-eye camera based in-home activity assessment.

Erhan Bas1, Deniz Erdogmus, Umut Ozertem

  • 1Department of Biomedical Engineering, Oregon Health and Science University, Portland, OR, USA. base@csee.ogi.edu

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 24, 2009
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Summary

Fish-eye cameras are effective for indoor localization, activity classification, and behavioral monitoring in surveillance. These sensors offer valuable data for tracking people and enabling applications like remote health monitoring.

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Area of Science:

  • Computer Vision
  • Human-Computer Interaction
  • Surveillance Technology

Background:

  • Indoor localization, activity classification, and behavioral modeling are crucial for applications such as independent living and remote health monitoring.
  • Traditional surveillance methods often face limitations in capturing comprehensive human activity data within indoor environments.

Purpose of the Study:

  • To evaluate the effectiveness of fish-eye cameras for indoor human monitoring, including localization, activity classification, and behavioral modeling.
  • To assess the suitability of high-resolution CCD sensors with very-wide-angle lenses for detailed indoor surveillance.

Main Methods:

  • Utilized fish-eye cameras to capture video data in indoor environments.
  • Analyzed video sequences for information extraction related to human presence and actions.
  • Investigated the performance of these sensors in automatic activity monitoring and people tracking.

Main Results:

  • Fish-eye cameras demonstrate significant utility for automatic activity monitoring and people tracking in indoor settings.
  • The wide-angle perspective provided by fish-eye lenses facilitates comprehensive scene coverage.
  • Identified specific practical and mathematical challenges associated with extracting actionable information from the video data.

Conclusions:

  • Fish-eye cameras are a promising technology for enhancing indoor surveillance and monitoring applications.
  • Further research is needed to address the identified challenges in data extraction for improved system performance.
  • The findings suggest a strong potential for these sensors in advancing remote health monitoring and independent living solutions.