摘要：

现有的独居老人监护系统存在算法复杂度高、监护效率低、不能保护老人日常隐私等问题。为此，提出一种基于全方位视觉的独居老人监护系统。利用全方位视觉传感器(ODVS)获取老人的全景视频图像，设计运动历史/能量图像算法用于目标跟踪，根据ODVS的成像特点，采用与ODVS距离位置不同的人体模型实现姿态识别，建立家庭空间与环境要素之间的映射关联，以提高行为检测的鲁棒性和可靠性，并通过ODVS标定和人体对象跟踪获得老人的活动量信息。实验结果表明，该系统的鲁棒性和实时性较强，检测准确率较高，能满足独居老人监护的需要。

关键词: 独居老人, 全方位视觉传感器, 运动历史/能量图像算法, 姿态识别, 异常行为分析, 全方位视觉传感器标定

Abstract:

Aiming at the problem of high algorithm complexity, low monitoring efficiency and privacy disclosure for existed monitoring system of elderly people living alone, this paper proposes a monitoring system for elderly people living alone based on omni-directional vision. It uses Omni-directional Vision Sensor(ODVS) to get panoramic image, and designs a Motion History or Energy Images(MHoEI) algorithm for the motion object tracking. In the posture recognition, different human model algorithms are applied in accordance with the imaging characteristics of ODVS. For the behavior analysis, a calibrated one-to-one correspondence is adopted between the ground locations and the environmental factors. Both the reliability of behavior detection and the robustness of behavior detection are significant expanded. In addition, elderly activities are accurately obtained by using ODVS calibration and effective tracking for the human object. Experimental results show that this system has high robustness, instantaneity and accuracy rate of the detection. It is adequate to meet current needs by protecting privacy.

Key words: elderly people living alone, Omni-directional Vision Sensor(ODVS), Motion History or Energy Images(MHoEI) algorithm, pose identification, abnormal behavior analysis, ODVS calibration

中图分类号: 

• TP391.41