Multiple object tracking in color scenes using composite-matched filtering with complex constrains

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Abstract

An algorithm for the recognition and tracking of several objects in color image sequences is presented. First, each three-channel color input image are encoded into a single-channel complex-valued image. Next, a set of prespecified targets are recognized and located in the scene by a composite matched filtering with complex constraints. Afterwards, the set of targets are tracked by adapting the matched filtering to each input image and by processing small image fragments extracted at the predicted coordinates of the targets in the scene. Results obtained with the proposed algorithm in a test image sequence are presented and analyzed in terms of efficiency of target recognition and accuracy of target tracking.

Original languageEnglish
Title of host publicationOptics and Photonics for Information Processing XV
EditorsKhan M. Iftekharuddin, Abdul A. S. Awwal, Victor Hugo Diaz-Ramirez, Andres Marquez
PublisherSPIE
ISBN (Electronic)9781510644762
DOIs
StatePublished - 2021
EventOptics and Photonics for Information Processing XV 2021 - San Diego, United States
Duration: 1 Aug 20215 Aug 2021

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11841
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceOptics and Photonics for Information Processing XV 2021
Country/TerritoryUnited States
CitySan Diego
Period1/08/215/08/21

Keywords

  • Composite matched-filters
  • Computer vision
  • Multiple object tracking
  • Opto-digital correlators

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