Human Tracking for Daily Life Surveillance Based on a Wireless Sensor Network

  • Sen Zhang
  • Wendong Xiao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7405)

Abstract

This paper proposes a human motion tracking approach for daily life surveillance in a distributed wireless sensor network using ultrasonic range sensors.Because the human target often moves with high non linearity, the proposed approach applies the unscented Kalman filter (UKF) technique. Experimental results in a real human motion tracking system show that the proposed approach can perform better tracking accuracy compared to the most recent human motion tracking scheme in the real test-bed implementation.

Keywords

Sensor Node Wireless Sensor Network Unscented Kalman Filter Ultrasonic Sensor Serial Port 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Sen Zhang
    • 1
  • Wendong Xiao
    • 1
  1. 1.School of Automation and Electrical EngineeringUniversity of Science and Technology BeijingBeijingP.R. China

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