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Human Localization With Multi-Camera Using Detection And Tracking Object

机译:使用检测和跟踪对象的多摄像机人体定位

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Object location determination in a room is a system which can determine the position of an object or person in a physical room. Localization systems which have been built using wireless sensor networks such as RFID, GPS, or Cellular networks are considered less effective. Hence, the present camera usage system as low-cost position determination will be developed. This system consists of two processes which are single-camera processing and multi-camera processing. In single-camera processing, we present object detection using Multi-Scale Spectral Residual (MSR) preprocessing to obtain camera position and best environment condition which will be used in multi-camera processing. In multi-camera processing, the object location detection result in the single camera will be combined and tracked in the room floor plan. From the experiment, the result is that human localization efficiency in room is 87.07% in average with minimum error accuracy is 0.02 meter and maximum error accuracy is 2.2 meter.
机译:房间中物体位置的确定是一种可以确定物体或人在物理房间中的位置的系统。使用无线传感器网络(如RFID,GPS或蜂窝网络)构建的定位系统被认为效率较低。因此,将开发作为低成本位置确定的本相机使用系统。该系统由两个过程组成,即单机处理和多机处理。在单镜头处理中,我们提出了使用多光谱残差(MSR)预处理的物体检测,以获取将在多镜头处理中使用的照相机位置和最佳环境条件。在多摄像机处理中,单个摄像机中的对象位置检测结果将被组合并在房间平面图中跟踪。从实验结果看,房间中人的定位效率为87.07 平均误差最小为0.02米,最大误差为2.2米。

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