Target tracking using interest point detection and correlation filtering

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

3 Scopus citations

Abstract

A reliable method for real-time target tracking is presented. The method is based on an interest point detector and a bank of locally adaptive correlation filters. The point detector is used to identify local regions in the observed scene around potential location of the target. The bank of correlation filters is employed to reliably detect the target and accurately estimate its position within the scene, by processing the local regions identified by the detector. Using information of past state estimates of the target the proposed algorithm predicts the state of the target in the next frame in order to perform a fast and accurate target tracking by focussing signal processing only on small regions of the scene in each frame. In order to achieve a real-time operation performance the proposed algorithm is implemented in a graphics processing unit. Experimental results obtained with the proposed method are presented, discussed, and compared with those obtained with a similar state-of-the-art target tracking algorithm.

Original languageEnglish
Title of host publicationApplications of Digital Image Processing XXXVII
EditorsAndrew G. Tescher
PublisherSPIE
ISBN (Electronic)9781628412444
DOIs
StatePublished - 2014
EventApplications of Digital Image Processing XXXVII - San Diego, United States
Duration: 18 Aug 201421 Aug 2014

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9217
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceApplications of Digital Image Processing XXXVII
Country/TerritoryUnited States
CitySan Diego
Period18/08/1421/08/14

Keywords

  • Correlation filtering
  • Graphics processing units (GPU)
  • Interest point detection
  • Target tracking

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