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Track initiation based on extended trellis and Randomized Hough Transform

  • School of Computer Science and Technology, Harbin Institute of Technology

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

Abstract

This paper presents a track-before-detect (TBD) algorithm for detection of unknown quantity of targets with parabolic tracks. First, eliminate large number of clutters orderly by expanded trellis and the method of mean power. And then get candidate parabolas by Randomized Hough Transform (RHT). The true tracks of the targets are extracted successfully by a strategy of outliers eliminating at last. Experimental results indicate that the proposed algorithm is capable of detecting multiple targets without the assumptions of an upper bound to the number of targets.

Original languageEnglish
Title of host publicationMeasuring Technology and Mechatronics Automation IV
Pages1281-1287
Number of pages7
DOIs
StatePublished - 2012
Externally publishedYes
Event4th International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2012 - Sanya, China
Duration: 6 Jan 20127 Jan 2012

Publication series

NameApplied Mechanics and Materials
Volume128-129
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference4th International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2012
Country/TerritoryChina
CitySanya
Period6/01/127/01/12

Keywords

  • Expanded trellis fault
  • Randomized hough transform
  • Track-before-detect

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