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Sensors 2014, 14(8), 13679-13691;

Thermal Tracking of Sports Players

Visual Analysis of People Lab, Aalborg University, Rendsburggade 14, 9000 Aalborg, Denmark
Author to whom correspondence should be addressed.
Received: 15 May 2014 / Revised: 18 July 2014 / Accepted: 21 July 2014 / Published: 29 July 2014
Full-Text   |   PDF [910 KB, uploaded 29 July 2014]


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. View Full-Text
Keywords: thermal; detection; tracking; sport thermal; detection; tracking; sport
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Gade, R.; Moeslund, T.B. Thermal Tracking of Sports Players. Sensors 2014, 14, 13679-13691.

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