基于PIR Sensor的单目标跟踪系统的设计与实现

针对基于热释电红外传感器的人体跟踪系统在实际环境中,由于受环境噪声和硬件参数影响而误差较高的问题,本文提出了一种基于热释电红外传感器PIR Sensor(Pyroelectric Infrared Sensor)的高精度人体目标跟踪方案。该方案首先对检测区域内运动人体热辐射的红外信号特征进行了提取,然后利用PIR Sensor定位节点自身几何参数和探测数据,得到初步定位结果。最后通过Kalman滤波算法对初步定位结果进行滤波处理并更新目标的状态信息,实现对检测区域内人体目标的定位与跟踪。实验表明,该系统的跟踪误差与同类跟踪系统相比降低了71.96%,证明了该系统具有较高的跟踪精度。

Design and Implementation of Single Target Tracking System Based on PIR Sensor

Due to the effects of the environmental noise and hardware parameters, the tracking error rate based on the PIR sensor is relatively higher in the real environment. For this point, this paper proposed a high accuracy human tracking scheme that based on pyroelectric infrared (PIR) Sensor. Firstly, PIR sensors detect the infrared signal of the moving human in the sensing area and the characteristics of the infrared signal are extracted. Then, the geometric parameters of locating node and the detecting data are used for the preliminary positioning result. Finally, Kalman filter algorithm is used to filter the preliminary positioning result and update the target state information for realizing the human target positioning and tracking in the sensing area. Experiments show that the tracking error has decreased by 71.96% comparing with other similar tracking systems. It has been proved that the system has a high tracking accuracy.