迈向基于鱼眼相机的家庭活动评估。
Towards fish-eye camera based in-home activity assessment.
作者信息
Bas Erhan, Erdogmus Deniz, Ozertem Umut, Pavel Misha
机构信息
Department of Biomedical Engineering, Oregon Health and Science University, Portland, OR, USA.
出版信息
Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:2558-61. doi: 10.1109/IEMBS.2008.4649722.
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.
室内定位、活动分类和行为建模对于包括独立生活和远程健康监测在内的监控应用越来越重要。在本文中，我们研究了鱼眼相机（配备超广角镜头的高分辨率CCD传感器）在室内环境中用于人员监测的适用性。结果表明，这些传感器对于自动活动监测和人员跟踪非常有用。我们确定了与从这些视频序列中提取信息相关的实际和数学问题，并确定了解决这些问题的未来方向。
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