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首页> 外文期刊>American journal of applied sciences >Elderly People Fall Detection System Using Skeleton Tracking and Recognition
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Elderly People Fall Detection System Using Skeleton Tracking and Recognition

机译：基于骨架跟踪与识别的老年人跌倒检测系统

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The fall detection systems use a variety of technologies like sensors, wearable devices, color camera, thermal camera etc. With the use of Microsoft Kinect camera for non-gaming purposes, depth images have started being utilized for fall detection. Various authors have made an attempt at using Kinect for fall detection in combination with a variety of techniques like ellipse analysis, bounding box analysis etc. However, most of these attempts fail to differentiate between human subjects and other inanimate objects and fail to identify the person who has fallen while assuming that there is only one person who needs to be monitored. This paper proposes a new system that is based on the depth images captured by Microsoft Kinect, skeleton tracking and bounding box analysis. The key novelty of this system is that it wraps the moving object into the bounding box and determines the change of size of the moving object by analysis the motion over the time to distinguish the human moving object and non-human moving object. The system stores the joint measurements of the known people in a database and compares the joint measurements of the detected person with the values in the database to identify the person. The proposed solution provides a significantly higher accuracy rate as compared to the current best solution and especially when the person carrying an object, sweeping the floor, dropping an object and picking an object from the floor.
机译：跌倒检测系统使用各种技术，例如传感器，可穿戴设备，彩色相机，热像仪等。随着Microsoft Kinect相机用于非游戏目的，深度图像已开始用于跌倒检测。许多作者已经尝试使用Kinect结合多种技术（例如椭圆分析，边界框分析等）来进行跌倒检测。但是，这些尝试中的大多数未能区分人类对象和其他无生命物体，也无法识别人假设只有一个需要监视的人而倒下的人。本文提出了一种基于Microsoft Kinect捕获的深度图像，骨架跟踪和边界框分析的新系统。该系统的关键新颖之处在于，它将运动物体包裹到边界框中，并通过分析一段时间内的运动来区分运动物体和非运动物体，从而确定运动物体的尺寸变化。该系统将已知人的联合测量结果存储在数据库中，并将检测到的人的联合测量结果与数据库中的值进行比较，以识别该人。与当前的最佳解决方案相比，提出的解决方案可提供更高的准确率，尤其是当有人搬运物体，扫地，掉落物体并从地板上捡起物体时。

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