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

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Resumen

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.

Idioma originalInglés
Título de la publicación alojadaOptics and Photonics for Information Processing XV
EditoresKhan M. Iftekharuddin, Abdul A. S. Awwal, Victor Hugo Diaz-Ramirez, Andres Marquez
EditorialSPIE
ISBN (versión digital)9781510644762
DOI
EstadoPublicada - 2021
EventoOptics and Photonics for Information Processing XV 2021 - San Diego, Estados Unidos
Duración: 1 ago 20215 ago 2021

Serie de la publicación

NombreProceedings of SPIE - The International Society for Optical Engineering
Volumen11841
ISSN (versión impresa)0277-786X
ISSN (versión digital)1996-756X

Conferencia

ConferenciaOptics and Photonics for Information Processing XV 2021
País/TerritorioEstados Unidos
CiudadSan Diego
Período1/08/215/08/21

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