An Intelligent Video Monitoring System for Patient Care
We designed an intelligent video monitoring system for patient care based on the traditional monitoring equipment.This system can detect the fall in the daily life of patients and other abnormal behavior and notify the caregivers.In this paper,we propose a novel block-based foreground extraction method based on a block based background model which reduces the storage greatly and utilizes the spatial information.And we use an adaptive threshold for extracting foreground.Also,we propose a method for shadow and illumination change detection and removal based on segmentation.Compared with the single Gaussian model,the proposed method is more accurate.Then we calculate the body”s velocity and other parameters to determine the status of human behavior.
Intelligent video monitoring patient care foreground extraction background model shadow removal
Jinfeng Hou Weifeng Liu Xiaoying Tang
Life Science of Technology Beijing Institute of Technology,Beijing,China
国内会议
长江2011国际医学影像物理和工程应用大会暨第六届中国医学影像物理学术年会
杭州
英文
89-92
2011-10-22（万方平台首次上网日期，不代表论文的发表时间）