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Thermal Tracking of Sports Players

We present here a real-time tracking algorithm for thermal video from a sports game. Robust detection of people includes routines for handling occlusions and noise before tracking each detected person with a Kalman filter. This online tracking algorithm is compared with a state-of-the-art offline mu...

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Detalles Bibliográficos
Autores principales: Gade, Rikke, Moeslund, Thomas B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4179012/
https://www.ncbi.nlm.nih.gov/pubmed/25076219
http://dx.doi.org/10.3390/s140813679
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author Gade, Rikke
Moeslund, Thomas B.
author_facet Gade, Rikke
Moeslund, Thomas B.
author_sort Gade, Rikke
collection PubMed
description We present here a real-time tracking algorithm for thermal video from a sports game. Robust detection of people includes routines for handling occlusions and noise before tracking each detected person with a Kalman filter. This online tracking algorithm is compared with a state-of-the-art offline multi-target tracking algorithm. Experiments are performed on a manually annotated 2-minutes video sequence of a real soccer game. The Kalman filter shows a very promising result on this rather challenging sequence with a tracking accuracy above 70% and is superior compared with the offline tracking approach. Furthermore, the combined detection and tracking algorithm runs in real time at 33 fps, even with large image sizes of 1920 × 480 pixels.
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spelling pubmed-41790122014-10-02 Thermal Tracking of Sports Players Gade, Rikke Moeslund, Thomas B. Sensors (Basel) Article We present here a real-time tracking algorithm for thermal video from a sports game. Robust detection of people includes routines for handling occlusions and noise before tracking each detected person with a Kalman filter. This online tracking algorithm is compared with a state-of-the-art offline multi-target tracking algorithm. Experiments are performed on a manually annotated 2-minutes video sequence of a real soccer game. The Kalman filter shows a very promising result on this rather challenging sequence with a tracking accuracy above 70% and is superior compared with the offline tracking approach. Furthermore, the combined detection and tracking algorithm runs in real time at 33 fps, even with large image sizes of 1920 × 480 pixels. MDPI 2014-07-29 /pmc/articles/PMC4179012/ /pubmed/25076219 http://dx.doi.org/10.3390/s140813679 Text en © 2014 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
Gade, Rikke
Moeslund, Thomas B.
Thermal Tracking of Sports Players
title Thermal Tracking of Sports Players
title_full Thermal Tracking of Sports Players
title_fullStr Thermal Tracking of Sports Players
title_full_unstemmed Thermal Tracking of Sports Players
title_short Thermal Tracking of Sports Players
title_sort thermal tracking of sports players
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4179012/
https://www.ncbi.nlm.nih.gov/pubmed/25076219
http://dx.doi.org/10.3390/s140813679
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