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Applying Particle Filter Technology to Object Tracking

  • Tun-Chang Lu
  • Shun-Peng Hsu
  • Yu-Xian Huang
  • Yi-Nung Chung
  • Shi-Ming Chen
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 345)

Abstract

This study proposes an approach to track moving objects and to predict the observed targets based on the particle filter. This system includes three parts which are the foreground segmentation, the partial filtering, and the particle filter for tracking objects. In order to estimate the location of next state and track the moving objects, it applies the prior and current state based on the particle filter technology. Experimental result shows that this method can track objects accurately.

Keywords

Particle filter Foreground segmentation Track objects 

Notes

Acknowledgment

This work was supported by the National Science Council under Grant MOST 103-2221-E-018-017.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Tun-Chang Lu
    • 1
  • Shun-Peng Hsu
    • 1
  • Yu-Xian Huang
    • 1
  • Yi-Nung Chung
    • 1
  • Shi-Ming Chen
    • 1
  1. 1.Department of Electrical EngineeringNational Changhua University of EducationChanghuaTaiwan

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