A New Method of Tracking Motion Human Based on Multiple Pyroelectric Sensorsa

摘要：

　　Pyroelectric infrared (PIR) sensor is low–cost,low-power small component commonly used only to trigger alarm in presence of humans or moving objects.PIR sensors are widely used as a simple,but reliable.In this paper,we present a novel pyroelectric sensor node,feature extraction method and human pyroelectric information fusion method to identify direction of multi-human motion,number of people passing and distance between the PIR sensor and people in an array of pyroelectric sensors.The pyroelectric sensor node is composed of two kinds of pyroelectric sensor modules.Each module has different function,so we can fuse the different function to accurately track human target.The approach has low computational requirement,so it is well-suited for limited-resources devices.Through the experiment,we can get the correct detection rate of the direction and number of people is more than 100%,the correct identification rate of the path is more than 78%.

关键词： pyroelectric infrared (PIR) sensor human detection direction detection distance identification fusion algorithm

作者: Hui Zeng Xueming Hu Nan Zhang Ji Xiong

作者单位: Wuhan Maritime Communication Research Institute,Wuhan,China School of Information Engineering,Wuhan Technology and Business University,Wuhan,China

会议类型: 国际会议

会议名称: 2016 Internatioanl Conference on Engineering and Technology Innovations(ICETI-2016))2016年工程与技术创新国际会议

会议地点: 武汉

会议语种:英文

页码: 220-226

在线出版日期: 2016-03-25（万方平台首次上网日期，不代表论文的发表时间）