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Human Tracking System Based on PIR Sensor Network and Video

  • Ji Xiong
  • Fang-Min Li
  • Jing-Yuan Zhang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 295)

Abstract

To detect and locate the human target motion precisely, this paper intends to present a tracking algorithm based on pyroelectric sensor network and video analysis technologies. According to the advantages of pyroelectric sensor network system and video system, this paper uses weighted least squares to fuse the data which is collected by multiple heterogeneous sensor nodes to realize human target real-time tracking. Moreover, the data can also be collected by pyroelectric sensor network system and video cameras. Through simulation, the error of tracking results is analyzed. The results show that the method using homogeneous and heterogeneous sensors to fuse the measured vector obtain better human target real-time tracking effect.

Keywords

Human tracking Pyroelectric infrared sensors network Video The weighted least squares method 

Notes

Acknowledgments

This work was supported by the National Natural Science Foundation of China under Grant No. 61170090

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Key Laboratoryof Fiber Optical Sensing Technology and Information Processing, Ministry of Education, School of Information EngineeringWuhan University of TechnologyWuhanChina

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