A Fast MEANSHIFT Algorithm-Based Target Tracking System

Tracking moving targets in complex scenes using an active video camera is a challenging task. Tracking accuracy and efficiency are two key yet generally incompatible aspects of a Target Tracking System (TTS). A compromise scheme will be studied in this paper. A fast mean-shift-based Target Tracking...

Descripción completa

Detalles Bibliográficos
Autor principal: Sun, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2012
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3436026/
https://www.ncbi.nlm.nih.gov/pubmed/22969397
http://dx.doi.org/10.3390/s120608218
_version_ 1782242639636070400
author Sun, Jian
author_facet Sun, Jian
author_sort Sun, Jian
collection PubMed
description Tracking moving targets in complex scenes using an active video camera is a challenging task. Tracking accuracy and efficiency are two key yet generally incompatible aspects of a Target Tracking System (TTS). A compromise scheme will be studied in this paper. A fast mean-shift-based Target Tracking scheme is designed and realized, which is robust to partial occlusion and changes in object appearance. The physical simulation shows that the image signal processing speed is >50 frame/s.
format Online
Article
Text
id pubmed-3436026
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher Molecular Diversity Preservation International (MDPI)
record_format MEDLINE/PubMed
spelling pubmed-34360262012-09-11 A Fast MEANSHIFT Algorithm-Based Target Tracking System Sun, Jian Sensors (Basel) Article Tracking moving targets in complex scenes using an active video camera is a challenging task. Tracking accuracy and efficiency are two key yet generally incompatible aspects of a Target Tracking System (TTS). A compromise scheme will be studied in this paper. A fast mean-shift-based Target Tracking scheme is designed and realized, which is robust to partial occlusion and changes in object appearance. The physical simulation shows that the image signal processing speed is >50 frame/s. Molecular Diversity Preservation International (MDPI) 2012-06-13 /pmc/articles/PMC3436026/ /pubmed/22969397 http://dx.doi.org/10.3390/s120608218 Text en © 2012 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Sun, Jian
A Fast MEANSHIFT Algorithm-Based Target Tracking System
title A Fast MEANSHIFT Algorithm-Based Target Tracking System
title_full A Fast MEANSHIFT Algorithm-Based Target Tracking System
title_fullStr A Fast MEANSHIFT Algorithm-Based Target Tracking System
title_full_unstemmed A Fast MEANSHIFT Algorithm-Based Target Tracking System
title_short A Fast MEANSHIFT Algorithm-Based Target Tracking System
title_sort fast meanshift algorithm-based target tracking system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3436026/
https://www.ncbi.nlm.nih.gov/pubmed/22969397
http://dx.doi.org/10.3390/s120608218
work_keys_str_mv AT sunjian afastmeanshiftalgorithmbasedtargettrackingsystem
AT sunjian fastmeanshiftalgorithmbasedtargettrackingsystem

Ejemplares similares