| 基于视觉传感器的老人突发失能检测 |
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| 引用本文： | 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[J]. 计算机系统应用, 2015, 24(6): 158-162 |
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| 作者姓名： | 王业篷 张运楚 杨红娟 赵成 韩颖 |
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| 作者单位： | 1. 山东建筑大学信息与电气工程学院,济南,250101
2. 山东建筑大学信息与电气工程学院，济南 250101; 山东省智能建筑技术重点实验室，济南 250101 |
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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) |
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| 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。
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| 关 键 词： | 居家养老 视觉传感器 独居老人 突发失能 |
| 收稿时间： | 2014-09-27 |
| 修稿时间： | 2014-10-23 |
Elderly Sudden Disability Detection Based on Vision Sensor |
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| WANG Ye-Peng,ZHANG Yun-Chu,YANG Hong-Juan,ZHAO Cheng and HAN Ying. Elderly Sudden Disability Detection Based on Vision Sensor[J]. Computer Systems& Applications, 2015, 24(6): 158-162 |
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| Authors: | WANG Ye-Peng ZHANG Yun-Chu YANG Hong-Juan ZHAO Cheng HAN Ying |
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| Affiliation: | School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China;School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China;Shandong Provincial Key Laboratory of Intelligent Buildings Technology, Jinan 250101, China;School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China;Shandong Provincial Key Laboratory of Intelligent Buildings Technology, Jinan 250101, China;School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China;School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China |
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| 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. |
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| Keywords: | aging in place vision sensor live-aloned old people sudden disability |
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