Track-before-detect based on two-stage sampling particle filter

  • Xinhua Liang
  • , Quan Pan
  • , Feng Yang
  • , Yanjun Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

A modified track-before-detect based on two-stage sampling particle filter is proposed for detection and tracking of a target with low signal-to-noise ratio in an image sequence. According to each component's impacting on measurement directly or not, the state vector is partitioned into two parts. Then a higher-dimensional sampling problem in TBD can be changed into two successive lower-dimensional sampling problems. This improves the efficiency of state sampling. Results on simulated data show a higher gain in performance of detection and tracking.

Original languageEnglish
Title of host publication2nd International Conference on Information Engineering and Computer Science - Proceedings, ICIECS 2010
DOIs
StatePublished - 2010
Event2nd International Conference on Information Engineering and Computer Science, ICIECS 2010 - Wuhan, China
Duration: 25 Dec 201026 Dec 2010

Publication series

Name2nd International Conference on Information Engineering and Computer Science - Proceedings, ICIECS 2010

Conference

Conference2nd International Conference on Information Engineering and Computer Science, ICIECS 2010
Country/TerritoryChina
CityWuhan
Period25/12/1026/12/10

Keywords

  • Particle filters
  • Track before detect
  • Two-stage sampling

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