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计算机系统应用英文版:2015,24(6):158-162

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基于视觉传感器的老人突发失能检测

王业篷¹, 张运楚^1,2, 杨红娟^1,2, 赵成¹, 韩颖¹

(1.山东建筑大学信息与电气工程学院, 济南 250101;2.山东省智能建筑技术重点实验室, 济南 250101)

Elderly Sudden Disability Detection Based on Vision Sensor

WANG Ye-Peng¹, ZHANG Yun-Chu^1,2, YANG Hong-Juan^1,2, ZHAO Cheng¹, HAN Ying¹

(1.School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China;2.Shandong Provincial Key Laboratory of Intelligent Buildings Technology, Jinan 250101, China)

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本文已被：浏览 1433次下载 2472次
Received:September 27, 2014 Revised:October 23, 2014

中文摘要: 为解决坐、卧状态下老人突发失能检测失效问题, 设计了基于视觉传感器的老人突发失能检测算法. 使用包围盒选择性更新策略实现对老人静止状态下的检测. 采用视频图像网格化处理将监控范围划分成多个子区域. 统计老人进入不同子区域的次数和时间, 并建立区域驻留时间高斯模型实现老人突发失能检测. 实验表明, 本文算法具有运行平稳, 实时性好, 无监控死角等特点, 可有效检测独居老人坐、卧状态下的突发失能.

中文关键词: 居家养老视觉传感器独居老人突发失能

Abstract:A rapid the elderly sudden disability detection algorithm based on vision sensor is proposed for solving the problem of failure to detect sudden disability for sitting and lying the elderly. The static elderly is detected by using bounding box selective update policy. In the paper, video grid technology is proposed for dividing video into a plurality of sub-areas. Different frequency and duration of entering the sub-region are counted for establishing a Gaussian model based on duration. Experiments show that the proposed method has smooth running, real time, and without monitoring dead angle, besides it has the ability of fast and stable in detecting sudden disability for sitting and lying live-aloned old people.

keywords: aging in place vision sensor live-aloned old people sudden disability

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基金项目:国家自然科学基金(61303087);住房和城乡建设部科学技术项目(2011-K9-20)

引用文本：
王业篷,张运楚,杨红娟,赵成,韩颖.基于视觉传感器的老人突发失能检测.计算机系统应用,2015,24(6):158-162
WANG Ye-Peng,ZHANG Yun-Chu,YANG Hong-Juan,ZHAO Cheng,HAN Ying.Elderly Sudden Disability Detection Based on Vision Sensor.COMPUTER SYSTEMS APPLICATIONS,2015,24(6):158-162

Author Name	Affiliation
WANG Ye-Peng	School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China
ZHANG Yun-Chu	School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China Shandong Provincial Key Laboratory of Intelligent Buildings Technology, Jinan 250101, China
YANG Hong-Juan	School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China Shandong Provincial Key Laboratory of Intelligent Buildings Technology, Jinan 250101, China
ZHAO Cheng	School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China
HAN Ying	School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China