Sensors 2014, 14(8), 13679-13691; doi:10.3390/s140813679
Article

Thermal Tracking of Sports Players

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Received: 15 May 2014; in revised form: 18 July 2014 / Accepted: 21 July 2014 / Published: 29 July 2014
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: 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.
Keywords: thermal; detection; tracking; sport
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MDPI and ACS Style

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

AMA Style

Gade R, Moeslund TB. Thermal Tracking of Sports Players. Sensors. 2014; 14(8):13679-13691.

Chicago/Turabian Style

Gade, Rikke; Moeslund, Thomas B. 2014. "Thermal Tracking of Sports Players." Sensors 14, no. 8: 13679-13691.

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